About Nevis Nevis is building the world's first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis. Nevis was founded by an exceptional team of ex Revolut executives and has raised a total of $40 million from world leading investors including Sequoia Capital, ICONIQ and Ribbit. The Role We are looking for an experienced and driven Product Owner to lead the development of Nevis' AI first product experiences. In this role, you will work at the intersection of machine learning, generative AI, product strategy, and user experience turning complex user problems into seamless intelligent automations for financial advisors and their teams. You'll work directly with best in class engineers and designers, define product requirements, shape the roadmap, drive execution and strategically decide on important trade offs to deliver high impact innovative features and products that supercharge our users and help them focus on clients instead of admin. You'll thrive here if you are obsessed with solving actual users' pain points, product quality and transformative AI technologies. If you like to move fast, have 'get it done' attitude, excel in bringing clarity to complex multi dimensional problems and know how to navigate modern AI product development trade offs. What You'll Do Own the AI product roadmap, driving prioritisation and execution of features that leverage Nevis' intelligence layer. Translate high level business and user problems into clear, actionable product requirements, scope features and define priorities. Manage a team of world class engineers, designers and product builders. And be the ultimate owner of the final solution quality and delivery timelines. Apply technological and product expertise together with first principles thinking to define AI product development strategy. Put users and solving users' problems in front and center of the team's focus and goals. Formulate these goals in a set of clear and measurable success metrics. Communicate priorities, insights, and progress clearly across the business, ensuring tight alignment between engineering, operations, and leadership. Champion user experience and constantly working on making it even better Who You Are Hands on experience with LLMs Proven track record of shipping impactful AI native products, preferable at scale Proven ability to manage engineering teams and navigate ML/Engineering system design decisions trade offs Passionate about transformative AI technologies, deep understanding of all modern Gen AI and agentic product development patterns, their pros and cons Deep empathy for users and a track record of shipping impactful products with great UX Excellent prioritisation, communication, and analytical skills. Proactive and creative problem solver with "get it done" attitude Thrive in a fast paced, high growth environment and take ownership end to end Nice to Have Experience in fintech, wealth management, or financial services. Prior experience in AI startups Experience working with product designers and creating product with innovative UX Why Join Nevis? Work alongside a high calibre founding team backed by some of the best investors in the world. A fast paced, high growth environment with the opportunity to shape how the business operates. Be part of a mission driven company transforming the wealth management industry with huge potential for global impact. Competitive salary and benefits package, including company equity.
Jan 09, 2026
Full time
About Nevis Nevis is building the world's first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis. Nevis was founded by an exceptional team of ex Revolut executives and has raised a total of $40 million from world leading investors including Sequoia Capital, ICONIQ and Ribbit. The Role We are looking for an experienced and driven Product Owner to lead the development of Nevis' AI first product experiences. In this role, you will work at the intersection of machine learning, generative AI, product strategy, and user experience turning complex user problems into seamless intelligent automations for financial advisors and their teams. You'll work directly with best in class engineers and designers, define product requirements, shape the roadmap, drive execution and strategically decide on important trade offs to deliver high impact innovative features and products that supercharge our users and help them focus on clients instead of admin. You'll thrive here if you are obsessed with solving actual users' pain points, product quality and transformative AI technologies. If you like to move fast, have 'get it done' attitude, excel in bringing clarity to complex multi dimensional problems and know how to navigate modern AI product development trade offs. What You'll Do Own the AI product roadmap, driving prioritisation and execution of features that leverage Nevis' intelligence layer. Translate high level business and user problems into clear, actionable product requirements, scope features and define priorities. Manage a team of world class engineers, designers and product builders. And be the ultimate owner of the final solution quality and delivery timelines. Apply technological and product expertise together with first principles thinking to define AI product development strategy. Put users and solving users' problems in front and center of the team's focus and goals. Formulate these goals in a set of clear and measurable success metrics. Communicate priorities, insights, and progress clearly across the business, ensuring tight alignment between engineering, operations, and leadership. Champion user experience and constantly working on making it even better Who You Are Hands on experience with LLMs Proven track record of shipping impactful AI native products, preferable at scale Proven ability to manage engineering teams and navigate ML/Engineering system design decisions trade offs Passionate about transformative AI technologies, deep understanding of all modern Gen AI and agentic product development patterns, their pros and cons Deep empathy for users and a track record of shipping impactful products with great UX Excellent prioritisation, communication, and analytical skills. Proactive and creative problem solver with "get it done" attitude Thrive in a fast paced, high growth environment and take ownership end to end Nice to Have Experience in fintech, wealth management, or financial services. Prior experience in AI startups Experience working with product designers and creating product with innovative UX Why Join Nevis? Work alongside a high calibre founding team backed by some of the best investors in the world. A fast paced, high growth environment with the opportunity to shape how the business operates. Be part of a mission driven company transforming the wealth management industry with huge potential for global impact. Competitive salary and benefits package, including company equity.
Location Bournemouth 5 Days ONSITE FTE/FTC - £80k Start Date ASAP Data Engineer with AIML(LLM, Agentic AI) & Python experience AIML, Machine Learning & Data Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs click apply for full job details
Jan 09, 2026
Full time
Location Bournemouth 5 Days ONSITE FTE/FTC - £80k Start Date ASAP Data Engineer with AIML(LLM, Agentic AI) & Python experience AIML, Machine Learning & Data Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs click apply for full job details
At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We are seeking a senior or lead-level Software Engineer with a strong focus on LLMs and agentic workflows to join our team. In this role, you will be instrumental in integrating LLM-powered features into our bioinformatics applications, working across both prototype exploration and scalable production deployments. We're building tools that help scientists extract, explore, and reason over complex biological data - and we need someone who is both passionate about AI and motivated to deliver real value in life sciences. If you feel these resonate with you, even if you are still developing your hands on production experience with AI technologies, reach out to us with no hesitation. In this role, you will: Design and implement LLM-based features into our applications using modern AI frameworks and methodologies, including RAG and agentic workflows. Work across the AI lifecycle - from rapid prototyping to robust production systems - validating ideas and ensuring they meet real-world performance standards. Explore and evaluate emerging AI tools and technologies (both proprietary and OSS), recommending and integrating those that bring meaningful impact. Collaborate cross functionally with product, data, and bioinformatics teams to ensure AI solutions are useful, performant, and aligned with scientific needs. Ensure reliability and efficiency of AI applications, including optimization of model outputs, latency, token usage, and system robustness in production. Evaluate and integrate open source models, tools, and frameworks when appropriate, ensuring they meet production quality standards, Implement and optimize LLM model serving/tuning pipelines for scalable deployment, Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. Provide technical leadership and mentoring for engineers contributing to AI features, fostering shared learning and best practices. We would like you to have: 6+ years in software development, with a strong foundation in computer science principles, data structures, and algorithms. Ability and motivation to rapidly learn and apply AI frameworks and workflows to production environments Track record of technical leadership (design/architecture reviews, mentoring, cross team alignment) - AI specific production history not required. Excellent skills in Python and a solid understanding of Java, enabling seamless integration of AI components into existing systems. Familiarity with LLM APIs from various vendors (e.g., OpenAI, Anthropic) and frameworks like LangChain or LlamaIndex - prior production deployment is welcome but not strictly required. Conceptual understanding of vector databases, retrieval pipelines, and semantic search; practical exposure (PoCs, prototypes, hack projects) is welcome, and production experience is a plus, not a must. Working knowledge of agentic execution patterns and prompt engineering principles - able to reason about trade offs and guide implementation even if not previously shipped to production. Ability to evaluate open source models, tools, and frameworks and outline integration paths; direct production integrations are optional. Exposure to (or readiness to quickly learn) LLM model serving/tuning (e.g., vLLM, TGI, Triton). Genuine interest in applying AI technologies to advance bioinformatics and contribute to life science innovations. Strong ability to convey complex ideas clearly and collaborate effectively within a team. Excellent verbal and written communication skills in English. It would be nice for you to have: Familiarity with LLMOps practices and observability frameworks. Knowledge of bioinformatics or exposure to real biological datasets. Exposure to frontend development (e.g., React) is a plus We offer you: international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.
Jan 09, 2026
Full time
At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We are seeking a senior or lead-level Software Engineer with a strong focus on LLMs and agentic workflows to join our team. In this role, you will be instrumental in integrating LLM-powered features into our bioinformatics applications, working across both prototype exploration and scalable production deployments. We're building tools that help scientists extract, explore, and reason over complex biological data - and we need someone who is both passionate about AI and motivated to deliver real value in life sciences. If you feel these resonate with you, even if you are still developing your hands on production experience with AI technologies, reach out to us with no hesitation. In this role, you will: Design and implement LLM-based features into our applications using modern AI frameworks and methodologies, including RAG and agentic workflows. Work across the AI lifecycle - from rapid prototyping to robust production systems - validating ideas and ensuring they meet real-world performance standards. Explore and evaluate emerging AI tools and technologies (both proprietary and OSS), recommending and integrating those that bring meaningful impact. Collaborate cross functionally with product, data, and bioinformatics teams to ensure AI solutions are useful, performant, and aligned with scientific needs. Ensure reliability and efficiency of AI applications, including optimization of model outputs, latency, token usage, and system robustness in production. Evaluate and integrate open source models, tools, and frameworks when appropriate, ensuring they meet production quality standards, Implement and optimize LLM model serving/tuning pipelines for scalable deployment, Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. Provide technical leadership and mentoring for engineers contributing to AI features, fostering shared learning and best practices. We would like you to have: 6+ years in software development, with a strong foundation in computer science principles, data structures, and algorithms. Ability and motivation to rapidly learn and apply AI frameworks and workflows to production environments Track record of technical leadership (design/architecture reviews, mentoring, cross team alignment) - AI specific production history not required. Excellent skills in Python and a solid understanding of Java, enabling seamless integration of AI components into existing systems. Familiarity with LLM APIs from various vendors (e.g., OpenAI, Anthropic) and frameworks like LangChain or LlamaIndex - prior production deployment is welcome but not strictly required. Conceptual understanding of vector databases, retrieval pipelines, and semantic search; practical exposure (PoCs, prototypes, hack projects) is welcome, and production experience is a plus, not a must. Working knowledge of agentic execution patterns and prompt engineering principles - able to reason about trade offs and guide implementation even if not previously shipped to production. Ability to evaluate open source models, tools, and frameworks and outline integration paths; direct production integrations are optional. Exposure to (or readiness to quickly learn) LLM model serving/tuning (e.g., vLLM, TGI, Triton). Genuine interest in applying AI technologies to advance bioinformatics and contribute to life science innovations. Strong ability to convey complex ideas clearly and collaborate effectively within a team. Excellent verbal and written communication skills in English. It would be nice for you to have: Familiarity with LLMOps practices and observability frameworks. Knowledge of bioinformatics or exposure to real biological datasets. Exposure to frontend development (e.g., React) is a plus We offer you: international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.
Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise wide productivity. We're using the latest in AI to automate and innovate, empowering financial service businesses to achieve exceptional productivity and compliance outcomes. Role Overview As a Forward Solutions Engineer / Principal Solutions Consultant at Aveni, you will be a key technical leader in pre sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. Your mission is to translate complex business and regulatory needs into scalable, robust, compliant solutions that underscore Aveni's value proposition. You will often be "forward deployed", meaning you'll engage closely with strategic clients, acting as subject matter expert, leading technical discovery, driving proof of concepts (POCs), and ensuring successful handover to implementation and ongoing support. About You You are a seasoned Consultant who combines deep technical capability with business insight, someone who is equally at ease in boardroom discussions as you are in exploring architecture diagrams. You thrive when solving complex, regulated industry problems, especially in financial services or adjacent sectors. You likely come from a Big 4 consultancy, technology advisory practice or a similarly demanding environment. From this background you bring: Rigorous client facing experience: doing discovery, scoping, workshops, POCs, RFPs, not just writing proposals, but engaging deeply with clients at multiple levels (operations, risk, compliance, executives). Structured, analytical problem solving: you break down fuzzy business problems, diagnose root causes, map them to technical and regulatory constraints, and propose robust, scalable solutions. High standards of delivery: you are accustomed to detailed documentation, demanding stakeholders, continuous quality checks, and the discipline of consultancy timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade offs (cost vs speed vs write down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g., CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs / RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate how Aveni's AI/LLMs meet their needs; help them navigate trade offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g., architecture templates, demo scripts, integrations) to speed up future engagements. Mentor / guide more junior solutions / presales engineers or consultants. Stay up to date with regulatory developments (e.g., Consumer Duty, risk oversight, compliance in financial services), Agentic / AI / NLP / LLM technologies, competitive landscape. Occasionally participate in post sales support / implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Requirements Must havens Substantial experience in pre sales / solutions consulting / technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade off evaluation, understanding of scalability, performance, data governance. Excellent communication and presentation skills: able to adapt technical stories for non technical executives (e.g., risk / compliance / operations leaders) as well as technical audiences. Experience leading or contributing in POCs, custom demos and pilot deployments. Deep understanding of regulatory and risk & compliance in financial services. Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice to havens Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech to text, etc.). Familiarity with cloud architectures, data warehouses / lakes, data security/compliance frameworks (e.g., ISO, GDPR, regulations specific to FS). Experience mentoring juniors, creating reusable technical assets / IP. What Success Looks Like Delivery of well scoped POCs and demos that lead to closed deals. Technical proposals and architectures that satisfy both product capability and regulatory/risk constraints of clients. Positive feedback from clients on the clarity, reliability, and impact of your solutions and engagement. Good alignment and collaboration with Product, Engineering and Sales: features and customer insights feeding into roadmap, and technical delivery matching expectations. Reusability and scale: you help build patterns or frameworks that reduce effort and risk in future similar engagements. Maintaining up to date knowledge of regulatory environment and AI advances so that Aveni remains credible and ahead in the market. What We Offer A collaborative and innovative work environment with awesome career growth opportunities. 34 days holiday plus your birthday off (inclusive of bank holidays). Share options - we believe in shared success. Skills development - continuous learning is at our core, expect the development to be front and centre of everything you do. Remote and flexible working - remote, co working spaces, or a mix of both. Life insurance, income protection and private health care. Freebies and discounts at a range of retailers. Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support). Cycle to work scheme. Pension scheme (employer contribution matched up to 5%). Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we'd like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!
Jan 08, 2026
Full time
Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise wide productivity. We're using the latest in AI to automate and innovate, empowering financial service businesses to achieve exceptional productivity and compliance outcomes. Role Overview As a Forward Solutions Engineer / Principal Solutions Consultant at Aveni, you will be a key technical leader in pre sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. Your mission is to translate complex business and regulatory needs into scalable, robust, compliant solutions that underscore Aveni's value proposition. You will often be "forward deployed", meaning you'll engage closely with strategic clients, acting as subject matter expert, leading technical discovery, driving proof of concepts (POCs), and ensuring successful handover to implementation and ongoing support. About You You are a seasoned Consultant who combines deep technical capability with business insight, someone who is equally at ease in boardroom discussions as you are in exploring architecture diagrams. You thrive when solving complex, regulated industry problems, especially in financial services or adjacent sectors. You likely come from a Big 4 consultancy, technology advisory practice or a similarly demanding environment. From this background you bring: Rigorous client facing experience: doing discovery, scoping, workshops, POCs, RFPs, not just writing proposals, but engaging deeply with clients at multiple levels (operations, risk, compliance, executives). Structured, analytical problem solving: you break down fuzzy business problems, diagnose root causes, map them to technical and regulatory constraints, and propose robust, scalable solutions. High standards of delivery: you are accustomed to detailed documentation, demanding stakeholders, continuous quality checks, and the discipline of consultancy timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade offs (cost vs speed vs write down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g., CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs / RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate how Aveni's AI/LLMs meet their needs; help them navigate trade offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g., architecture templates, demo scripts, integrations) to speed up future engagements. Mentor / guide more junior solutions / presales engineers or consultants. Stay up to date with regulatory developments (e.g., Consumer Duty, risk oversight, compliance in financial services), Agentic / AI / NLP / LLM technologies, competitive landscape. Occasionally participate in post sales support / implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Requirements Must havens Substantial experience in pre sales / solutions consulting / technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade off evaluation, understanding of scalability, performance, data governance. Excellent communication and presentation skills: able to adapt technical stories for non technical executives (e.g., risk / compliance / operations leaders) as well as technical audiences. Experience leading or contributing in POCs, custom demos and pilot deployments. Deep understanding of regulatory and risk & compliance in financial services. Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice to havens Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech to text, etc.). Familiarity with cloud architectures, data warehouses / lakes, data security/compliance frameworks (e.g., ISO, GDPR, regulations specific to FS). Experience mentoring juniors, creating reusable technical assets / IP. What Success Looks Like Delivery of well scoped POCs and demos that lead to closed deals. Technical proposals and architectures that satisfy both product capability and regulatory/risk constraints of clients. Positive feedback from clients on the clarity, reliability, and impact of your solutions and engagement. Good alignment and collaboration with Product, Engineering and Sales: features and customer insights feeding into roadmap, and technical delivery matching expectations. Reusability and scale: you help build patterns or frameworks that reduce effort and risk in future similar engagements. Maintaining up to date knowledge of regulatory environment and AI advances so that Aveni remains credible and ahead in the market. What We Offer A collaborative and innovative work environment with awesome career growth opportunities. 34 days holiday plus your birthday off (inclusive of bank holidays). Share options - we believe in shared success. Skills development - continuous learning is at our core, expect the development to be front and centre of everything you do. Remote and flexible working - remote, co working spaces, or a mix of both. Life insurance, income protection and private health care. Freebies and discounts at a range of retailers. Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support). Cycle to work scheme. Pension scheme (employer contribution matched up to 5%). Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we'd like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!
Senior Conversational Designer (Conversational AI / Agentic AI) Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Location : London - 2 days per week onsite (Thursday & Friday, with some flexibility) Contract : 6 months (strong likelihood of extension) Rate : 600 per day (inside IR35) The Opportunity We're working with a major UK financial services organisation that is investing heavily in next-generation Conversational AI. This role sits within a brand-new, greenfield proposition, focused on evolving traditional chatbots into agentic AI experiences that can reason, act, and support customers in more meaningful ways. This is a rare opportunity for a senior-level conversational designer to help define the approach, processes, and standards for conversational AI at enterprise scale, within a highly visible and innovative programme. What You'll Be Doing Lead the design of customer-facing conversational AI experiences, including an AI-powered savings and investments assistant Apply core conversation design principles to complex, probabilistic AI systems and agentic workflows Design and evolve natural, human-like back-and-forth conversational interactions Work across discovery, journey mapping, and problem framing to deeply understand user needs Help establish new design processes and ways of working in an environment with no existing blueprint Collaborate closely with designers, product, and engineering teams Take ownership of design decisions, clearly articulate the rationale, and influence direction across the team What We're Looking For Strong, hands-on experience in Conversational AI (essential) Background in content design, with a clear move into conversation design Deep understanding of human conversation fundamentals and how they translate into machine-led interactions Experience designing conversational interfaces using large language models (LLMs) Comfortable working in fast-paced, experimental environments with evolving requirements Confident senior designer who can lead through ambiguity and bring others along Curious, engaged, and ideally active in design communities, bringing external thinking into the organisation Tools & Technologies Figma Large Language Models (LLMs) Conversational and agentic AI interfaces Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
Jan 06, 2026
Contractor
Senior Conversational Designer (Conversational AI / Agentic AI) Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Location : London - 2 days per week onsite (Thursday & Friday, with some flexibility) Contract : 6 months (strong likelihood of extension) Rate : 600 per day (inside IR35) The Opportunity We're working with a major UK financial services organisation that is investing heavily in next-generation Conversational AI. This role sits within a brand-new, greenfield proposition, focused on evolving traditional chatbots into agentic AI experiences that can reason, act, and support customers in more meaningful ways. This is a rare opportunity for a senior-level conversational designer to help define the approach, processes, and standards for conversational AI at enterprise scale, within a highly visible and innovative programme. What You'll Be Doing Lead the design of customer-facing conversational AI experiences, including an AI-powered savings and investments assistant Apply core conversation design principles to complex, probabilistic AI systems and agentic workflows Design and evolve natural, human-like back-and-forth conversational interactions Work across discovery, journey mapping, and problem framing to deeply understand user needs Help establish new design processes and ways of working in an environment with no existing blueprint Collaborate closely with designers, product, and engineering teams Take ownership of design decisions, clearly articulate the rationale, and influence direction across the team What We're Looking For Strong, hands-on experience in Conversational AI (essential) Background in content design, with a clear move into conversation design Deep understanding of human conversation fundamentals and how they translate into machine-led interactions Experience designing conversational interfaces using large language models (LLMs) Comfortable working in fast-paced, experimental environments with evolving requirements Confident senior designer who can lead through ambiguity and bring others along Curious, engaged, and ideally active in design communities, bringing external thinking into the organisation Tools & Technologies Figma Large Language Models (LLMs) Conversational and agentic AI interfaces Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
Introduction SymphonyAI Financial Services is seeking a Senior Product Manager (AI First) to lead the product vision and roadmap for our Sensa Investigation - the central case management, workflow, and analyst experience layer across our financial crime and compliance portfolio (ie., AML Transaction Monitoring, KYC, Sanctions, Fraud and extending across the Compliance and Risk framework). This role is ideal for a hands on, AI native product leader who deeply understands financial crime investigations and disclosures, and is excited to re imagine the end to end investigation lifecycle using AI and Agentic AI - from alert triage and case creation through investigation, collaboration, decisioning, disclosure/reporting, and post case learning. You will own the product strategy for Sensa Investigation, define and deliver an AI first analyst experience, and drive cross functional execution with engineering, design, data science, go to market teams, and customers. Job Description Key Responsibilities Product Vision & Strategy Define and continuously refine the product vision, strategy, and multi year roadmap for Sensa Investigation as the core investigation and case management platform for SymphonyAI Financial Services. Develop a clear AI first and Agentic AI strategy for investigations, spanning intelligent alert triage, dynamic case assembly, automated evidence gathering, recommended actions, draft decisions, and disclosures. Translate market trends, regulatory developments, and customer feedback into a cohesive, differentiated product strategy that aligns with SymphonyAI's platform and portfolio direction. Define the role of Sensa Investigation within the overall product suite (screening, monitoring, KYC/CDD, fraud, market surveillance, customer risk rating, entity resolution, etc.) and ensure tight product integration. Domain & Customer Leadership Act as a domain expert and trusted partner to our customers on AML TM, KYC, Sanctions, Fraud, and Financial Crime investigations - including typologies, investigative workflows, adverse media, escalation rules, quality assurance, and governance. Deeply understand investigation and case management processes (e.g., Level 1 / Level 2 / Level 3 investigations, referrals, escalations, quality checks, audit, closure, SAR/STR/SMR filing, regulatory disclosures, and post case reviews). Engage regularly with compliance officers, investigation teams, operations leaders, and technology stakeholders at Tier 1 and Tier 2 financial institutions to understand pain points and validate concepts. Maintain a strong understanding of global regulations and expectations impacting investigations (e.g., BSA/AML, FATF, OFAC, EU AML directives, sanctions regimes, fraud and consumer protection regs, surveillance regulations). AI & Agentic AI Productization Partner with AI/ML and data science teams to define AI powered investigation capabilities, including: Intelligent case creation, clustering, and prioritization. Agent driven evidence gathering across internal and external data sources. AI copilots for investigators (guided investigations, recommended next steps, narrative generation). Automated/draft disclosures and regulatory reports (e.g., SAR/STR narratives, supporting documentation, decision rationales). Continuous learning from case outcomes, QA feedback, and regulatory changes. Define Agentic AI patterns and use cases for autonomous or semi autonomous workflows (e.g., auto closure of low risk alerts, pre investigation triage, periodic review workflows, negative news investigations). Own the balance between AI innovation, explainability, controls, and regulatory defensibility - ensuring all AI driven features meet standards for transparency, auditability, and human in the loop oversight. Collaborate with platform and engineering teams to align Sensa Investigation capabilities with the underlying AI platform, data fabric, ontologies, and workflow engines. Product Execution & Delivery Translate strategy into clear, prioritized product roadmaps, epics, and user stories with crisp acceptance criteria and measurable outcomes. Lead backlog grooming, sprint planning, and release scoping in close partnership with engineering, UX, and data science. Drive the end to end product lifecycle - from concept and discovery through design, build, test, launch, and iterative improvement. Collaborate with UX to design intuitive, high performance analyst and manager experiences - dashboards, queues, case views, timelines, evidence workspaces, investigation notebooks, and reporting. Ensure the product meets the needs of complex enterprise deployments - including multi jurisdiction and multi business unit operations, configurable workflows, permissions, data residency, and extensibility. Stakeholder & Go To Market Collaboration Partner with Sales, Customer Success, and Solutions teams to support strategic opportunities, customer workshops, RFP responses, and demos. Own the pricing, packaging, ROI narrative and competitive differentiation, ultimately driving revenue growth. Provide product expertise and positioning to Marketing for messaging, collateral, and thought leadership (whitepapers, webinars, conference talks). Work closely with Implementation and Professional Services teams to ensure that Sensa Investigation is deployable, configurable, and scalable in real world environments. Define and track product KPIs and customer value metrics (e.g., case handling time, investigation quality, consistency of decisions, SAR/NFA mix, productivity uplift, AI adoption and impact). What Success Looks Like (First 12-18 Months) A clear, multi release roadmap for Sensa Investigation that is understood and endorsed by internal stakeholders and key customers. Delivery of high impact AI and Agentic AI features that demonstrably improve investigation efficiency, quality, and consistency. Strong customer adoption and satisfaction, with Sensa Investigation recognized as the primary console and workflow engine for investigators across multiple domains. Documented value stories and case studies around productivity gains, improved disclosure quality, and risk outcomes enabled by the platform. A clear feedback and learning loop between customers, engineering, and AI teams that continuously improves both product capabilities and underlying models. Candidate Profile Experience 7+ years of product management experience, with significant time in financial services, regtech, or fintech, ideally focused on financial crime or compliance products. Deep practical exposure to case management and investigations workflows in one or more of the following domains: AML transaction monitoring and investigations KYC/CDD and periodic reviews Sanctions and name screening investigations Fraud investigations (payments, cards, digital channels) Trade/market surveillance or conduct risk investigations Experience building and shipping AI powered enterprise products, preferably involving intelligent workflows, recommendations, copilots, or autonomous/agentic components. Proven track record of driving complex B2B or SaaS products from concept to successful market adoption across multiple releases. Experience working with global banks, broker dealers, insurers, or large fintechs, understanding their governance, risk, compliance, and technology landscapes. Skills & Competencies AI First Product Mindset: Ability to think from first principles about how AI and Agentic AI can reshape the investigation lifecycle, not just add point features. Comfort working with LLMs, ML models, retrieval systems, and orchestration frameworks, and translating these into user facing capabilities and requirements. Domain Depth in Investigations & Disclosures: Strong understanding of how investigators work day to day: data they consume, tools they use, pain points in existing case management and workflow tools. Familiarity with the end to end disclosure lifecycle (e.g., SAR/STR narrative standards, supporting documentation, internal approvals, regulatory expectations around timeliness and quality). Product Leadership & Execution: Demonstrated ability to own a product area end to end, set direction, and lead cross functional teams. Strong skills in requirements discovery, prioritization, trade off decisions, and stakeholder management. Data driven decision maker, comfortable with defining metrics, experiments, and success criteria. User Centric & Design Oriented: Passion for creating best in class analyst and case manager experiences that reduce friction, cognitive load, and operational risk. Ability to work closely with UX to turn complex workflows into simple, powerful, and intuitive experiences. Communication & Influence: Excellent written and verbal communication skills, including the ability to explain AI driven features and constraints in business terms to non technical stakeholders. Comfortable presenting to executives, regulators, and senior compliance stakeholders, as well as leading detailed working sessions with investigators and operations teams. Education Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related field. Nice to Have . click apply for full job details
Jan 06, 2026
Full time
Introduction SymphonyAI Financial Services is seeking a Senior Product Manager (AI First) to lead the product vision and roadmap for our Sensa Investigation - the central case management, workflow, and analyst experience layer across our financial crime and compliance portfolio (ie., AML Transaction Monitoring, KYC, Sanctions, Fraud and extending across the Compliance and Risk framework). This role is ideal for a hands on, AI native product leader who deeply understands financial crime investigations and disclosures, and is excited to re imagine the end to end investigation lifecycle using AI and Agentic AI - from alert triage and case creation through investigation, collaboration, decisioning, disclosure/reporting, and post case learning. You will own the product strategy for Sensa Investigation, define and deliver an AI first analyst experience, and drive cross functional execution with engineering, design, data science, go to market teams, and customers. Job Description Key Responsibilities Product Vision & Strategy Define and continuously refine the product vision, strategy, and multi year roadmap for Sensa Investigation as the core investigation and case management platform for SymphonyAI Financial Services. Develop a clear AI first and Agentic AI strategy for investigations, spanning intelligent alert triage, dynamic case assembly, automated evidence gathering, recommended actions, draft decisions, and disclosures. Translate market trends, regulatory developments, and customer feedback into a cohesive, differentiated product strategy that aligns with SymphonyAI's platform and portfolio direction. Define the role of Sensa Investigation within the overall product suite (screening, monitoring, KYC/CDD, fraud, market surveillance, customer risk rating, entity resolution, etc.) and ensure tight product integration. Domain & Customer Leadership Act as a domain expert and trusted partner to our customers on AML TM, KYC, Sanctions, Fraud, and Financial Crime investigations - including typologies, investigative workflows, adverse media, escalation rules, quality assurance, and governance. Deeply understand investigation and case management processes (e.g., Level 1 / Level 2 / Level 3 investigations, referrals, escalations, quality checks, audit, closure, SAR/STR/SMR filing, regulatory disclosures, and post case reviews). Engage regularly with compliance officers, investigation teams, operations leaders, and technology stakeholders at Tier 1 and Tier 2 financial institutions to understand pain points and validate concepts. Maintain a strong understanding of global regulations and expectations impacting investigations (e.g., BSA/AML, FATF, OFAC, EU AML directives, sanctions regimes, fraud and consumer protection regs, surveillance regulations). AI & Agentic AI Productization Partner with AI/ML and data science teams to define AI powered investigation capabilities, including: Intelligent case creation, clustering, and prioritization. Agent driven evidence gathering across internal and external data sources. AI copilots for investigators (guided investigations, recommended next steps, narrative generation). Automated/draft disclosures and regulatory reports (e.g., SAR/STR narratives, supporting documentation, decision rationales). Continuous learning from case outcomes, QA feedback, and regulatory changes. Define Agentic AI patterns and use cases for autonomous or semi autonomous workflows (e.g., auto closure of low risk alerts, pre investigation triage, periodic review workflows, negative news investigations). Own the balance between AI innovation, explainability, controls, and regulatory defensibility - ensuring all AI driven features meet standards for transparency, auditability, and human in the loop oversight. Collaborate with platform and engineering teams to align Sensa Investigation capabilities with the underlying AI platform, data fabric, ontologies, and workflow engines. Product Execution & Delivery Translate strategy into clear, prioritized product roadmaps, epics, and user stories with crisp acceptance criteria and measurable outcomes. Lead backlog grooming, sprint planning, and release scoping in close partnership with engineering, UX, and data science. Drive the end to end product lifecycle - from concept and discovery through design, build, test, launch, and iterative improvement. Collaborate with UX to design intuitive, high performance analyst and manager experiences - dashboards, queues, case views, timelines, evidence workspaces, investigation notebooks, and reporting. Ensure the product meets the needs of complex enterprise deployments - including multi jurisdiction and multi business unit operations, configurable workflows, permissions, data residency, and extensibility. Stakeholder & Go To Market Collaboration Partner with Sales, Customer Success, and Solutions teams to support strategic opportunities, customer workshops, RFP responses, and demos. Own the pricing, packaging, ROI narrative and competitive differentiation, ultimately driving revenue growth. Provide product expertise and positioning to Marketing for messaging, collateral, and thought leadership (whitepapers, webinars, conference talks). Work closely with Implementation and Professional Services teams to ensure that Sensa Investigation is deployable, configurable, and scalable in real world environments. Define and track product KPIs and customer value metrics (e.g., case handling time, investigation quality, consistency of decisions, SAR/NFA mix, productivity uplift, AI adoption and impact). What Success Looks Like (First 12-18 Months) A clear, multi release roadmap for Sensa Investigation that is understood and endorsed by internal stakeholders and key customers. Delivery of high impact AI and Agentic AI features that demonstrably improve investigation efficiency, quality, and consistency. Strong customer adoption and satisfaction, with Sensa Investigation recognized as the primary console and workflow engine for investigators across multiple domains. Documented value stories and case studies around productivity gains, improved disclosure quality, and risk outcomes enabled by the platform. A clear feedback and learning loop between customers, engineering, and AI teams that continuously improves both product capabilities and underlying models. Candidate Profile Experience 7+ years of product management experience, with significant time in financial services, regtech, or fintech, ideally focused on financial crime or compliance products. Deep practical exposure to case management and investigations workflows in one or more of the following domains: AML transaction monitoring and investigations KYC/CDD and periodic reviews Sanctions and name screening investigations Fraud investigations (payments, cards, digital channels) Trade/market surveillance or conduct risk investigations Experience building and shipping AI powered enterprise products, preferably involving intelligent workflows, recommendations, copilots, or autonomous/agentic components. Proven track record of driving complex B2B or SaaS products from concept to successful market adoption across multiple releases. Experience working with global banks, broker dealers, insurers, or large fintechs, understanding their governance, risk, compliance, and technology landscapes. Skills & Competencies AI First Product Mindset: Ability to think from first principles about how AI and Agentic AI can reshape the investigation lifecycle, not just add point features. Comfort working with LLMs, ML models, retrieval systems, and orchestration frameworks, and translating these into user facing capabilities and requirements. Domain Depth in Investigations & Disclosures: Strong understanding of how investigators work day to day: data they consume, tools they use, pain points in existing case management and workflow tools. Familiarity with the end to end disclosure lifecycle (e.g., SAR/STR narrative standards, supporting documentation, internal approvals, regulatory expectations around timeliness and quality). Product Leadership & Execution: Demonstrated ability to own a product area end to end, set direction, and lead cross functional teams. Strong skills in requirements discovery, prioritization, trade off decisions, and stakeholder management. Data driven decision maker, comfortable with defining metrics, experiments, and success criteria. User Centric & Design Oriented: Passion for creating best in class analyst and case manager experiences that reduce friction, cognitive load, and operational risk. Ability to work closely with UX to turn complex workflows into simple, powerful, and intuitive experiences. Communication & Influence: Excellent written and verbal communication skills, including the ability to explain AI driven features and constraints in business terms to non technical stakeholders. Comfortable presenting to executives, regulators, and senior compliance stakeholders, as well as leading detailed working sessions with investigators and operations teams. Education Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related field. Nice to Have . click apply for full job details
AI Engineer - Fintech Innovation Our client is a leading fintech company on a mission to transform consumer finance through some of the latest technologies. They are profitable, fast-growing, and backed by top-tier investors. The Role We're seeking an AI Engineer to join the Data Science team and build production grade Generative AI systems that streamline operations. You'll work on projects such as: Enhancing internal chatbots for customer support Automating document parsing with schema extraction pipelines Designing LLM driven workflows to simplify case management This role combines applied AI engineering, business process design, and hands on Python development. What You'll Do Build and deploy real GenAI systems Work with LLMs, retrieval systems, and automation pipelines Own solutions from prototype to production Redesign processes using AI for maximum efficiency Key Skills Strong Python engineering experience Hands on use of LLMs in real workflows Ability to design prompts, retrieval pipelines, and agentic flows Problem solving in ambiguous environments Why Join? Scale up with one of the most successful fintech companies Competitive compensation and equity Hybrid working model Please note that sponsorship is not available for this position. Candidates must have the right to work in the UK. We Are Aspire Ltd are a Disability Confident Commited employer.
Jan 06, 2026
Full time
AI Engineer - Fintech Innovation Our client is a leading fintech company on a mission to transform consumer finance through some of the latest technologies. They are profitable, fast-growing, and backed by top-tier investors. The Role We're seeking an AI Engineer to join the Data Science team and build production grade Generative AI systems that streamline operations. You'll work on projects such as: Enhancing internal chatbots for customer support Automating document parsing with schema extraction pipelines Designing LLM driven workflows to simplify case management This role combines applied AI engineering, business process design, and hands on Python development. What You'll Do Build and deploy real GenAI systems Work with LLMs, retrieval systems, and automation pipelines Own solutions from prototype to production Redesign processes using AI for maximum efficiency Key Skills Strong Python engineering experience Hands on use of LLMs in real workflows Ability to design prompts, retrieval pipelines, and agentic flows Problem solving in ambiguous environments Why Join? Scale up with one of the most successful fintech companies Competitive compensation and equity Hybrid working model Please note that sponsorship is not available for this position. Candidates must have the right to work in the UK. We Are Aspire Ltd are a Disability Confident Commited employer.
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
Jan 03, 2026
Full time
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
Software Engineer, Developer Tools and Productivity Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! Available locations: Lisbon or London About the Department Cloudflare's Engineering Team builds and runs the software that handles large amounts of requests on the Internet today. We also build and run the internal tools and platforms that run that software. Individual engineering teams are typically responsible for large areas with considerable impact, and able to execute autonomously within that space to deliver value to their customers - be they internal or external. Many of Cloudflare's critical internal services run on Kubernetes. These services include those responsible for Cloudflare's control plane and APIs, data analytics and other internal tools used to manage our global network. These Kubernetes platforms are purpose-built from the ground up and run on bare metal Linux in different regions around the world. The scale we work at involves tens of thousands of containers and terabits per second of network traffic. The team takes pride in knowing this platform helps run parts of the global Internet. About the team and the role The Developer Tools organization delivers a fast, reliable, and secure developer experience by removing workflow friction and providing resilient infrastructure that our internal teams can trust at every stage of the software lifecycle. We build self-service, resilient, scalable platforms and tools using a combination of Open Source projects, intellectual property, and internal infrastructure. These tools and platforms are used by 100s of developers at Cloudflare to code, build, test, and deploy their software. The Developer Productivity team empowers engineers to deliver high-quality software faster via golden path workflows, flexible but powerful tools, living standards, and intelligent automation. The role includes both software engineering and DevOps operational responsibilities. The ideal candidate will care deeply about providing other engineers with an excellent development experience, and have a deep understanding of what engineers care about, how they accomplish their day day work, and what world class developer tooling looks like. What you'll do Embed with teams to improve their developer workflows by better usage and configurations of our tools, while implementing new features and improvements based on internal engineering feedback Design and build scalable and resilient systems that can keep up with company growth Design, build, and operate developer productivity tooling across coding, building, managing, testing, and deploying software Harden the platform against security threats, bugs and other operational issues Improve the efficiency of managing resources such as CPU, bandwidth and storage Work with product teams to understand their challenges and help them choose the best way to architect their systems Drive initiatives that make our engineers happier and more productive. Help respond and prevent incidents impacting developer tools platforms Desirable skills, knowledge and experience Ability to work with codebases in TypeScript and Go Excellent debugging skills in a Linux environment Source control experience including branching, merging and rebasing Experience managing and deploying onto production Kubernetes or similar orchestration platforms The ability to break down complex problems into smaller pieces, provide options, talk through trade offs and drive the effort to solve the problem Bonus Points Worked in a platform engineering team/ engineering productivity team in the past. Expertise in building and maintaining systems for specific developer tooling domains like build systems, CI/CD pipelines, source control, or automation tools. Experience operating Kubernetes on premise at scale in capacities including SRE, systems design or architecture Experience building tools on top of LLMs, including MCP servers, RAG pipelines, or agentic workflows. What Makes Cloudflare Special? We're not just a highly ambitious, large scale technology company. We're a highly ambitious, large scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy centric public DNS resolver. This is available publicly for everyone to use - it's the first consumer focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Equal Employment Opportunity Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e mail at or via mail at 101 Townsend St. San Francisco, CA 94107.
Jan 01, 2026
Full time
Software Engineer, Developer Tools and Productivity Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! Available locations: Lisbon or London About the Department Cloudflare's Engineering Team builds and runs the software that handles large amounts of requests on the Internet today. We also build and run the internal tools and platforms that run that software. Individual engineering teams are typically responsible for large areas with considerable impact, and able to execute autonomously within that space to deliver value to their customers - be they internal or external. Many of Cloudflare's critical internal services run on Kubernetes. These services include those responsible for Cloudflare's control plane and APIs, data analytics and other internal tools used to manage our global network. These Kubernetes platforms are purpose-built from the ground up and run on bare metal Linux in different regions around the world. The scale we work at involves tens of thousands of containers and terabits per second of network traffic. The team takes pride in knowing this platform helps run parts of the global Internet. About the team and the role The Developer Tools organization delivers a fast, reliable, and secure developer experience by removing workflow friction and providing resilient infrastructure that our internal teams can trust at every stage of the software lifecycle. We build self-service, resilient, scalable platforms and tools using a combination of Open Source projects, intellectual property, and internal infrastructure. These tools and platforms are used by 100s of developers at Cloudflare to code, build, test, and deploy their software. The Developer Productivity team empowers engineers to deliver high-quality software faster via golden path workflows, flexible but powerful tools, living standards, and intelligent automation. The role includes both software engineering and DevOps operational responsibilities. The ideal candidate will care deeply about providing other engineers with an excellent development experience, and have a deep understanding of what engineers care about, how they accomplish their day day work, and what world class developer tooling looks like. What you'll do Embed with teams to improve their developer workflows by better usage and configurations of our tools, while implementing new features and improvements based on internal engineering feedback Design and build scalable and resilient systems that can keep up with company growth Design, build, and operate developer productivity tooling across coding, building, managing, testing, and deploying software Harden the platform against security threats, bugs and other operational issues Improve the efficiency of managing resources such as CPU, bandwidth and storage Work with product teams to understand their challenges and help them choose the best way to architect their systems Drive initiatives that make our engineers happier and more productive. Help respond and prevent incidents impacting developer tools platforms Desirable skills, knowledge and experience Ability to work with codebases in TypeScript and Go Excellent debugging skills in a Linux environment Source control experience including branching, merging and rebasing Experience managing and deploying onto production Kubernetes or similar orchestration platforms The ability to break down complex problems into smaller pieces, provide options, talk through trade offs and drive the effort to solve the problem Bonus Points Worked in a platform engineering team/ engineering productivity team in the past. Expertise in building and maintaining systems for specific developer tooling domains like build systems, CI/CD pipelines, source control, or automation tools. Experience operating Kubernetes on premise at scale in capacities including SRE, systems design or architecture Experience building tools on top of LLMs, including MCP servers, RAG pipelines, or agentic workflows. What Makes Cloudflare Special? We're not just a highly ambitious, large scale technology company. We're a highly ambitious, large scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy centric public DNS resolver. This is available publicly for everyone to use - it's the first consumer focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Equal Employment Opportunity Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e mail at or via mail at 101 Townsend St. San Francisco, CA 94107.
About Mistral Mistral AI is a dynamic, collaborative company focused on AI innovation. We democratize AI through high-performance, optimized, open-source models, products and solutions, designed to meet enterprise needs whether on-premises or in cloud environments. Our teams are distributed across France, USA, UK, Germany and Singapore and are committed to driving innovation. Join us to be part of a pioneering company shaping the future of AI. See more about our culture at mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. You will be an integral part of the Applied AI Engineering team, driving the deployment of Mistral AI products and building complex enterprise use-cases. You will work with customers from pre-sale to post-implementation to ensure our solutions meet and exceed expectations. You will manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and serve as a key resource in externalizing our research in production settings. What you will do You'll individually help deploy production use cases with a considerable business impact across various industries. You'll work on state-of-the-art GenAI applications, from consumer products to industrial use cases, guiding a crucial technological transformation with our customers. You'll collaborate with researchers, other AI engineers, and product engineers on complex customer projects involving fine-tuning, state-of-the-art LLM applications, and contributing to open-source codebases for tasks such as inference and fine-tuning. You'll participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations, and provide technical guidance on our products and technologies. You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback. About you You are fluent in English. You hold a PhD or master's degree in AI/data science or you are self-made. You have 7-10+ years as a technical individual contributor on AI-based products. You have experience in fine-tuning LLMs and tackling advanced RAG or agentic use cases. You have a deep understanding of machine learning and LLM algorithms. You have a solid understanding of cloud infrastructure and deploying AI-based products. You have deployed or built products with large-scale user bases. You have strong communication skills to explain complex technical concepts to technical and non-technical audiences. Ideally you have: Contributed to open-source projects in the LLM space. Experience as a Forward Deployed Engineer, Staff Engineer ML, or Staff Data Scientist. Benefits We have local offices in Paris, London, Marseille, Amsterdam and Singapore. France: Competitive cash salary and equity; daily lunch vouchers; gym/health benefits; parental leave; visa sponsorship. UK: Competitive cash salary and equity; insurance; transportation reimbursements; gym membership reimbursement; meal allowance; pension plan. About The Team At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open. Our product values are Cool, Precision, Human-Centric, Captivating and Ambitious.
Jan 01, 2026
Full time
About Mistral Mistral AI is a dynamic, collaborative company focused on AI innovation. We democratize AI through high-performance, optimized, open-source models, products and solutions, designed to meet enterprise needs whether on-premises or in cloud environments. Our teams are distributed across France, USA, UK, Germany and Singapore and are committed to driving innovation. Join us to be part of a pioneering company shaping the future of AI. See more about our culture at mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. You will be an integral part of the Applied AI Engineering team, driving the deployment of Mistral AI products and building complex enterprise use-cases. You will work with customers from pre-sale to post-implementation to ensure our solutions meet and exceed expectations. You will manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and serve as a key resource in externalizing our research in production settings. What you will do You'll individually help deploy production use cases with a considerable business impact across various industries. You'll work on state-of-the-art GenAI applications, from consumer products to industrial use cases, guiding a crucial technological transformation with our customers. You'll collaborate with researchers, other AI engineers, and product engineers on complex customer projects involving fine-tuning, state-of-the-art LLM applications, and contributing to open-source codebases for tasks such as inference and fine-tuning. You'll participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations, and provide technical guidance on our products and technologies. You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback. About you You are fluent in English. You hold a PhD or master's degree in AI/data science or you are self-made. You have 7-10+ years as a technical individual contributor on AI-based products. You have experience in fine-tuning LLMs and tackling advanced RAG or agentic use cases. You have a deep understanding of machine learning and LLM algorithms. You have a solid understanding of cloud infrastructure and deploying AI-based products. You have deployed or built products with large-scale user bases. You have strong communication skills to explain complex technical concepts to technical and non-technical audiences. Ideally you have: Contributed to open-source projects in the LLM space. Experience as a Forward Deployed Engineer, Staff Engineer ML, or Staff Data Scientist. Benefits We have local offices in Paris, London, Marseille, Amsterdam and Singapore. France: Competitive cash salary and equity; daily lunch vouchers; gym/health benefits; parental leave; visa sponsorship. UK: Competitive cash salary and equity; insurance; transportation reimbursements; gym membership reimbursement; meal allowance; pension plan. About The Team At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open. Our product values are Cool, Precision, Human-Centric, Captivating and Ambitious.
Agentic AI Engineer - Special Projects & R&D (Entry Level) At Capgemini, we empower you to shape your career your way. Join a global community where collaboration, innovation, and purpose come together to reimagine what's possible. Be part of a team that helps the world's leading organizations unlock the power of technology to build a more sustainable and inclusive future. Job Title: Agentic AI Engineer We are looking for an Agentic AI Engineer to join our Special Projects & R&D team. This entry-level role is ideal for recent graduates in Computer Science, Computer Engineering, or related fields. You will work on cutting-edge AI solutions for banking and financial services, focusing on agentic and autonomous AI systems. Key Responsibilities Design & Development Build and refine agentic AI systems, including multi-agent workflows and autonomous process automation tools. Develop prototypes using frameworks such as LangChain, OpenAI, and HuggingFace Transformers. Applied Research Track advancements in agentic AI, LLMs, and orchestration for financial services. Contribute to research on applications like compliance, fraud detection, and regulatory reporting. Work with AI researchers, engineers, and domain experts to translate business needs into technical solutions. Participate in design sessions and code reviews. Design experiments to benchmark solutions against state-of-the-art models. Analyze results and iterate for performance improvements. Documentation & Communication Prepare technical documentation, research reports, and demos for technical and non-technical audiences. Requirements Education Master's or PhD in Computer Science, Software Engineering, Data Science, or related field (recent graduates encouraged). Technical Skills Proficiency in Python and at least one AI/ML library (PyTorch, TensorFlow, scikit-learn). Basic understanding of LLMs, multi agent systems, or reinforcement learning. Familiarity with cloud environments and tools like Git and Docker is a plus. Domain Interest Interest in financial services, banking technology, or fintech innovation. Soft Skills Curiosity, proactive problem solving, and eagerness to learn. Strong analytical, communication, and teamwork skills. Preferred (Nice-to-Have) Experience with LangChain, OpenAI API, or similar frameworks. Exposure to banking APIs, regulatory tech, or financial data analytics. Internships or academic projects in AI, autonomous systems, or finance related technology. What We Offer Work on real world AI projects impacting banking and finance. Mentorship from experienced AI engineers and researchers. Career growth in a collaborative, innovative R&D environment. About Capgemini Capgemini is a global leader in business and technology transformation. With 340,000 team members in over 50 countries, we help organizations accelerate their digital and sustainable transitions. Backed by over 55 years of experience, we deliver end to end solutions powered by AI, cloud, and data, and supported by deep industry expertise. In 2023, Capgemini reported global revenues of €22.5 billion.Get the future you want
Jan 01, 2026
Full time
Agentic AI Engineer - Special Projects & R&D (Entry Level) At Capgemini, we empower you to shape your career your way. Join a global community where collaboration, innovation, and purpose come together to reimagine what's possible. Be part of a team that helps the world's leading organizations unlock the power of technology to build a more sustainable and inclusive future. Job Title: Agentic AI Engineer We are looking for an Agentic AI Engineer to join our Special Projects & R&D team. This entry-level role is ideal for recent graduates in Computer Science, Computer Engineering, or related fields. You will work on cutting-edge AI solutions for banking and financial services, focusing on agentic and autonomous AI systems. Key Responsibilities Design & Development Build and refine agentic AI systems, including multi-agent workflows and autonomous process automation tools. Develop prototypes using frameworks such as LangChain, OpenAI, and HuggingFace Transformers. Applied Research Track advancements in agentic AI, LLMs, and orchestration for financial services. Contribute to research on applications like compliance, fraud detection, and regulatory reporting. Work with AI researchers, engineers, and domain experts to translate business needs into technical solutions. Participate in design sessions and code reviews. Design experiments to benchmark solutions against state-of-the-art models. Analyze results and iterate for performance improvements. Documentation & Communication Prepare technical documentation, research reports, and demos for technical and non-technical audiences. Requirements Education Master's or PhD in Computer Science, Software Engineering, Data Science, or related field (recent graduates encouraged). Technical Skills Proficiency in Python and at least one AI/ML library (PyTorch, TensorFlow, scikit-learn). Basic understanding of LLMs, multi agent systems, or reinforcement learning. Familiarity with cloud environments and tools like Git and Docker is a plus. Domain Interest Interest in financial services, banking technology, or fintech innovation. Soft Skills Curiosity, proactive problem solving, and eagerness to learn. Strong analytical, communication, and teamwork skills. Preferred (Nice-to-Have) Experience with LangChain, OpenAI API, or similar frameworks. Exposure to banking APIs, regulatory tech, or financial data analytics. Internships or academic projects in AI, autonomous systems, or finance related technology. What We Offer Work on real world AI projects impacting banking and finance. Mentorship from experienced AI engineers and researchers. Career growth in a collaborative, innovative R&D environment. About Capgemini Capgemini is a global leader in business and technology transformation. With 340,000 team members in over 50 countries, we help organizations accelerate their digital and sustainable transitions. Backed by over 55 years of experience, we deliver end to end solutions powered by AI, cloud, and data, and supported by deep industry expertise. In 2023, Capgemini reported global revenues of €22.5 billion.Get the future you want
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We are seeking a Principal AI Engineer with expertise in Agentic AI systems and Large Language Models to lead the design, development, and deployment of advanced AI solutions. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities for our clients. As an influential hire in a growing organisation, your impact will be substantial, shaping technical strategy, cultivating our AI focused culture, and setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM driven solutions. Architect and implement robust AI systems, including end to end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud native AI infrastructure. Mentor and develop team expertise, positioning Hypercube as a leader in AI engineering excellence. Key responsibilities Technical leadership & strategy Act as the AI and LLM subject matter expert for internal teams and client engagements. Drive the strategic design and implementation of sophisticated AI solutions leveraging cutting edge Agentic AI architectures and LLM frameworks. Design, build, and maintain scalable AI and LLM based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Coordinate with cross functional teams (data engineers, data scientists, DevOps, stakeholders) to define and deliver client focused AI solutions. Communicate complex AI and LLM methodologies clearly to both technical peers and non technical stakeholders. Thought leadership & evangelism Advocate for best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD). Engage with the AI community through blogs, speaking engagements, and open source contributions. Support business development through demos, proposals, and technical pre sales activities. Foster strong client relationships, advising on AI and LLM strategic directions. Mentor colleagues, enhancing the team's collective capabilities. Technical skills Please apply even if you meet only some criteria - we value potential alongside experience. Core skills Agentic AI & LLMs: Hands on experience building, deploying, and managing large language models and agent based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (nice to have) skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration with complex external or hybrid cloud systems. Excellent communication across diverse technical audiences. What's in it for you? High Impact: Drive innovation in energy sector AI solutions, directly influencing client outcomes. Career Growth: Benefit from senior mentorship, dedicated training budgets, and clear growth pathways. Flexible Environment: Open to various flexible working arrangements to suit your lifestyle. Start up Culture: Contribute significantly to shaping our culture, processes, and technologies. Personal Branding: Encouraged and supported in building your public professional profile. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly - even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. We are currently not able to sponsor visas. Apply to work at Hypercube We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer.
Jan 01, 2026
Full time
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We are seeking a Principal AI Engineer with expertise in Agentic AI systems and Large Language Models to lead the design, development, and deployment of advanced AI solutions. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities for our clients. As an influential hire in a growing organisation, your impact will be substantial, shaping technical strategy, cultivating our AI focused culture, and setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM driven solutions. Architect and implement robust AI systems, including end to end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud native AI infrastructure. Mentor and develop team expertise, positioning Hypercube as a leader in AI engineering excellence. Key responsibilities Technical leadership & strategy Act as the AI and LLM subject matter expert for internal teams and client engagements. Drive the strategic design and implementation of sophisticated AI solutions leveraging cutting edge Agentic AI architectures and LLM frameworks. Design, build, and maintain scalable AI and LLM based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Coordinate with cross functional teams (data engineers, data scientists, DevOps, stakeholders) to define and deliver client focused AI solutions. Communicate complex AI and LLM methodologies clearly to both technical peers and non technical stakeholders. Thought leadership & evangelism Advocate for best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD). Engage with the AI community through blogs, speaking engagements, and open source contributions. Support business development through demos, proposals, and technical pre sales activities. Foster strong client relationships, advising on AI and LLM strategic directions. Mentor colleagues, enhancing the team's collective capabilities. Technical skills Please apply even if you meet only some criteria - we value potential alongside experience. Core skills Agentic AI & LLMs: Hands on experience building, deploying, and managing large language models and agent based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (nice to have) skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration with complex external or hybrid cloud systems. Excellent communication across diverse technical audiences. What's in it for you? High Impact: Drive innovation in energy sector AI solutions, directly influencing client outcomes. Career Growth: Benefit from senior mentorship, dedicated training budgets, and clear growth pathways. Flexible Environment: Open to various flexible working arrangements to suit your lifestyle. Start up Culture: Contribute significantly to shaping our culture, processes, and technologies. Personal Branding: Encouraged and supported in building your public professional profile. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly - even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. We are currently not able to sponsor visas. Apply to work at Hypercube We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer.
AI Solutions Specialist Department: PreSales Employment Type: Full Time Location: London Description At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning. We work with some of the world's largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe's fastest-growing providers of CX transformation solutions, we're committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience. We are currently looking for a passionate and enthusiastic AI Solutions Specialist to join our team. We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of change. Role Purpose The AI Solutions Specialist is a key technical leader within Sabio's Pre sales function, driving the design and delivery of enterprise scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial acumen and executive level presentation skills, making you central to Sabio's success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end to end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs of concept and demos under time s conditions. Provide customer and market insights to inform Sabio's product and proposition roadmap. Mentor junior and associate colleagues, building capability across the Pre sales team. Skills Knowledge and Expertise Expert level knowledge of Conversational AI, Generative AI, Agentic AI, and automation frameworks. Deep understanding of CCaaS/contact centre operations and digital CX transformation. Awareness of security, compliance, and integration considerations in enterprise deployments. Commercial and financial awareness, including ROI modelling and TCO analysis. Strong understanding of competitive landscape in AI/CX. Proven ability to translate complex architectures and organisational challenges into clear, measurable business outcomes. Confidence engaging with senior stakeholders, including C level executives. Strong influencing and negotiation skills within competitive sales cycles. Ability to balance technical depth with commercial positioning. Leadership skills to guide junior team members, drive AI enablement through the immediate Specialist team, and collaborate across functions. Resilience and adaptability in fast moving, high pressure environments. Technologies AI/Automation: Conversational AI platforms, Generative AI models (LLMs), Agentic AI frameworks, RPA toolsli> CCaaS: Genesys, Avaya, NICE, Five9, Amazon Connect. Cloud platforms: AWS, Azure, Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics, reporting, and modelling tools. Qualifications Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI enabled CX transformation projects. Bachelor's or Master's degree in Computer Science, AI, Engineering, or related discipline. (preferred) Preferred / Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent) Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company. Remote/Flexible work Discovery Medical Aid Connectivity Allowance 15 days paid holiday a year- (this includes three Sabio days) Momentum EAP The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
Jan 01, 2026
Full time
AI Solutions Specialist Department: PreSales Employment Type: Full Time Location: London Description At Sabio Group, we're dedicated to fostering an environment where employees thrive. Since 1998, we've built a dynamic culture that is both challenging and fun, driven by a team of ambitious, knowledgeable individuals who are passionate about leading the CX revolution. We're seeking creative, resourceful people to join our fast-growing organisation, where you'll have the opportunity to develop your skills and contribute to a culture of continuous learning. We work with some of the world's largest organisations across various industries, delivering exceptional digital customer experiences through our unique blend of expertise, technology, and insight. As one of Europe's fastest-growing providers of CX transformation solutions, we're committed to sustainability, diversity, and inclusion, ensuring our workforce reflects the diverse society we serve. Join us and help shape the future of customer experience. We are currently looking for a passionate and enthusiastic AI Solutions Specialist to join our team. We look for people with the right cultural fit having what it takes to drive our business forward. We also look for people who are keen to develop new knowledge and skills, because our growth is ultimately dependent on yours. You will play an important role in driving change within our business, joining a department that is continually on a journey of change. Role Purpose The AI Solutions Specialist is a key technical leader within Sabio's Pre sales function, driving the design and delivery of enterprise scale AI and CX solutions. You will act as a trusted advisor to clients, leading discovery workshops, validating architectures, and translating AI capability into measurable business outcomes. This role combines deep technical expertise with strong commercial acumen and executive level presentation skills, making you central to Sabio's success in competitive sales cycles. Key Responsibilities Lead discovery sessions with enterprise clients to uncover opportunities and map AI to business needs. Design and validate end to end AI and automation architectures, ensuring scalability, resilience, and security. Own technical & operational service responses for proposals, RFPs, and pitches, ensuring clarity and credibility. Deliver engaging demonstrations and presentations that showcase ROI and competitive advantage. Act as an AI authority during sales cycles, influencing deal strategy and client positioning. Partner with Solution Engineers on proofs of concept and demos under time s conditions. Provide customer and market insights to inform Sabio's product and proposition roadmap. Mentor junior and associate colleagues, building capability across the Pre sales team. Skills Knowledge and Expertise Expert level knowledge of Conversational AI, Generative AI, Agentic AI, and automation frameworks. Deep understanding of CCaaS/contact centre operations and digital CX transformation. Awareness of security, compliance, and integration considerations in enterprise deployments. Commercial and financial awareness, including ROI modelling and TCO analysis. Strong understanding of competitive landscape in AI/CX. Proven ability to translate complex architectures and organisational challenges into clear, measurable business outcomes. Confidence engaging with senior stakeholders, including C level executives. Strong influencing and negotiation skills within competitive sales cycles. Ability to balance technical depth with commercial positioning. Leadership skills to guide junior team members, drive AI enablement through the immediate Specialist team, and collaborate across functions. Resilience and adaptability in fast moving, high pressure environments. Technologies AI/Automation: Conversational AI platforms, Generative AI models (LLMs), Agentic AI frameworks, RPA toolsli> CCaaS: Genesys, Avaya, NICE, Five9, Amazon Connect. Cloud platforms: AWS, Azure, Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics, reporting, and modelling tools. Qualifications Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI enabled CX transformation projects. Bachelor's or Master's degree in Computer Science, AI, Engineering, or related discipline. (preferred) Preferred / Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent) Benefits This is your chance to join a friendly and passionate team that will motivate you to learn and develop your career in the company. Remote/Flexible work Discovery Medical Aid Connectivity Allowance 15 days paid holiday a year- (this includes three Sabio days) Momentum EAP The Small Print Strictly No Agencies; any submission of resumes without prior request from Sabio Group will not be deemed as an introduction and therefore will not warrant an introduction fee. All applicants must have the right to work in the territory to which the role relates (UK & EU). Sabio Group are unable to offer sponsorship on any roles advertised.
Why N-able At N-able, we're not just helping businesses be secure -we're redefining what it means to be cyber resilient. Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can manage, secure, and recover with confidence. But the real power behind it all? Our people. We're a global crew of N-ablites, who love solving complex problems, sharing knowledge, and delivering solutions that actually make a difference. If you're into meaningful work, fast growth, and a team that's got your back, you'll be surrounded by people who believe in what they do-and in you. We are looking to hire a Senior Automation Engineer/ Software Engineer in Test for our AI Team in our Dundee or Edinburgh hub. The role is hybrid and requires 2 days a week in the office. What You'll Do Lead our testing approach for our Agentic AI solution. Develop & maintain a high-quality production code that follow best practices to facilitate N-able's AI offerings. Conduct and participate in code reviews to ensure code quality and consistency, and to mentor and provide feedback to junior engineers. Mentor and coach junior engineers, helping them improve their technical skills and grow in their careers. Ensuring code quality, writing automated tests, and participating in quality assurance efforts to maintain a high level of software quality. Be responsible for creating and maintaining technical documentation, including architecture diagrams, design specifications, and coding standards. Work closely with other teams, such as product management, architecture, DevOps, UX, and quality assurance, to ensure that engineering projects align with business goals and user needs. Effectively communicate technical concepts to non-technical stakeholders and collaborate with cross-functional teams, ensuring projects are delivered on time and meet technical requirements. What You'll Bring Previous production AI experience. A strong understanding of LLMs, agents and AI testing principles. Exhibits high skill level in coding and software design, in test automation, and in product design. Experience with RAG databases including data ingestion and retrieval. Professional experience in writing code, the current tech stack is GO, Angular, Terraform. Solid understanding of development process with strong problem solving and debugging skills, experience working with escalations on customer/production issues. Experience working with any relational DB and SQL and integrating with 3rd party services and platforms (eCommerce, billing, license management, web portals, etc.). Experience with Web services development (REST, GraphQL) and in planning and creating mid and low-level architecture for the new complex systems based on high level architecture vision. Expertise with cloud-based technologies AWS/Azure and expertise with Cloud-native methodologies and design. High motivation and willingness to drive the team forward to higher engineering standards. Experience driving new initiatives and improving processes. Strong OOP experience, patterns and best practices. Knowledge on SSDLC (Secure Software Development Lifecycle). Technical mentorship experience with team members. Purple Perks Medical, dental and vision coverage. Generous PTO and observed holidays. 2 Paid VoluNteer Days per year. Employee Stock Purchase Program. FuN-raising opportunities as part of our giving program. N-ablite Learning - custom learning experience as part of our investment in you. The Way We Work - our hybrid working model based on trust and flexibility. About N-able At N-able, our mission is to protect businesses against evolving cyberthreats with an end-to-end cyber resilience platform to manage, secure, and recover. Our scalable technology infrastructure includes AI-powered capabilities, market-leading third-party integrations, and the flexibility to employ technologies of choice-to transform workflows and deliver critical security outcomes. Our partner-first approach combines our products with experts, training, and peer-led events that empower our customers to be secure, resilient, and successful.
Jan 01, 2026
Full time
Why N-able At N-able, we're not just helping businesses be secure -we're redefining what it means to be cyber resilient. Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can manage, secure, and recover with confidence. But the real power behind it all? Our people. We're a global crew of N-ablites, who love solving complex problems, sharing knowledge, and delivering solutions that actually make a difference. If you're into meaningful work, fast growth, and a team that's got your back, you'll be surrounded by people who believe in what they do-and in you. We are looking to hire a Senior Automation Engineer/ Software Engineer in Test for our AI Team in our Dundee or Edinburgh hub. The role is hybrid and requires 2 days a week in the office. What You'll Do Lead our testing approach for our Agentic AI solution. Develop & maintain a high-quality production code that follow best practices to facilitate N-able's AI offerings. Conduct and participate in code reviews to ensure code quality and consistency, and to mentor and provide feedback to junior engineers. Mentor and coach junior engineers, helping them improve their technical skills and grow in their careers. Ensuring code quality, writing automated tests, and participating in quality assurance efforts to maintain a high level of software quality. Be responsible for creating and maintaining technical documentation, including architecture diagrams, design specifications, and coding standards. Work closely with other teams, such as product management, architecture, DevOps, UX, and quality assurance, to ensure that engineering projects align with business goals and user needs. Effectively communicate technical concepts to non-technical stakeholders and collaborate with cross-functional teams, ensuring projects are delivered on time and meet technical requirements. What You'll Bring Previous production AI experience. A strong understanding of LLMs, agents and AI testing principles. Exhibits high skill level in coding and software design, in test automation, and in product design. Experience with RAG databases including data ingestion and retrieval. Professional experience in writing code, the current tech stack is GO, Angular, Terraform. Solid understanding of development process with strong problem solving and debugging skills, experience working with escalations on customer/production issues. Experience working with any relational DB and SQL and integrating with 3rd party services and platforms (eCommerce, billing, license management, web portals, etc.). Experience with Web services development (REST, GraphQL) and in planning and creating mid and low-level architecture for the new complex systems based on high level architecture vision. Expertise with cloud-based technologies AWS/Azure and expertise with Cloud-native methodologies and design. High motivation and willingness to drive the team forward to higher engineering standards. Experience driving new initiatives and improving processes. Strong OOP experience, patterns and best practices. Knowledge on SSDLC (Secure Software Development Lifecycle). Technical mentorship experience with team members. Purple Perks Medical, dental and vision coverage. Generous PTO and observed holidays. 2 Paid VoluNteer Days per year. Employee Stock Purchase Program. FuN-raising opportunities as part of our giving program. N-ablite Learning - custom learning experience as part of our investment in you. The Way We Work - our hybrid working model based on trust and flexibility. About N-able At N-able, our mission is to protect businesses against evolving cyberthreats with an end-to-end cyber resilience platform to manage, secure, and recover. Our scalable technology infrastructure includes AI-powered capabilities, market-leading third-party integrations, and the flexibility to employ technologies of choice-to transform workflows and deliver critical security outcomes. Our partner-first approach combines our products with experts, training, and peer-led events that empower our customers to be secure, resilient, and successful.
Software Architect page is loaded Software Architectlocations: EMEA - United Kingdom - Sheffield - Spaces Acerotime type: Full timeposted on: Posted Todayjob requisition id: 25WD93192 Job Requisition ID # 25WD93192# Position OverviewAutodesk's Architecture, Engineering, and Construction (AEC) Platform Data organization is seeking an experienced Software Architect to join its centralized Architecture team.In this role, you will be responsible for designing and building the systems and services that power cross-cutting data capabilities across both engineering teams in our organization: Information Lifecycle and Data Authoring, and their integration with Autodesk's existing and future AEC products.This opportunity is for you if you have a passion for the design of complex system architectures and are excited by the idea of transforming how AEC professionals use data to capture knowledge, inform decisions, and deliver projects.As a Software Architect in the centralized Architecture team, you will be at the forefront of designing the next generation of capabilities for the Autodesk Forma Industry Cloud. You'll collaborate with software architects in the centralized Architecture team as well as with software architects from the world's foremost applications and services for designing and constructing buildings and infrastructure, including Revit, Civil 3D, AutoCAD, the Autodesk Construction Cloud, and Autodesk Forma. You'll define the software architecture that reimagines the continuous flow of AEC Data (e.g. 3D models, 2D drawings, issue tracking, cost, sensor streams, etc.) and information throughout the entire lifecycle of a built asset, from design and construction through operation and maintenance.This is an individual contributor role reporting to the Distinguished Architect, AEC Platform Data, central Architecture team.# Responsibilities Define and evolve cross-team architecture for data platforms and services spanning Information Lifecycle and Data Authoring Establish standards, reference architectures, and reusable components; drive adoption across teams in the AEC Platform Data organization Lead architectural governance and architectural decision records (ADRs); run design reviews across teams Design and guide implementation of distributed systems and data platforms (APIs, schemas, event streams; batch and streaming) Ensure reliability, security, and performance; define SLOs and drive observability (metrics, tracing, logging) Partner across the AEC organization's product and platform teams to align roadmaps and integrations Communicate architectures with clear views and diagrams (e.g., C4) and executive-ready narratives# Minimum Qualifications Bachelor's degree in computer science, or equivalent experience 10+ years as a Software Architect in data-intensive cloud environments Experience with cloud services, API design, database architecture, big data tools and frameworks Strong understanding of data modeling, management and processing principles Excellent knowledge of software design and architecture Demonstrated ability to influence without authority and drive cross-team alignment Mastery of taking complex ideas and conveying them in a concise and impactful manner Excellent verbal, written communication, and presentation abilities to effectively communicate software architecture strategy to a variety of stakeholders Ability to collaborate with a global team# Preferred Qualifications Experience in the Architecture, Engineering, and Construction industry Cloud services experience with AWS strongly preferred (EC2, ECS, Lambda, API Gateway, S3, DynamoDB, RDS) Database architecture and technologies: Snowflake, relational, NoSQL Event-driven and streaming architectures: Kafka or Kinesis; exactly-once processing; schema evolution (Avro/Protobuf) API and service design: REST, gRPC, GraphQL; versioning and backward compatibility at scale Distributed systems and data platforms: microservices, service mesh, event-driven architecture, streaming processing Observability/SRE: OpenTelemetry, distributed tracing, metrics/SLOs for data services Knowledge graphs/semantic modeling (nice-to-have): RDF/OWL, property graphs, or feature stores for ML Experience designing and integrating AI systems and agents in enterprise environments; familiarity with Model Context Protocol (MCP) and tool/plugin ecosystems Hands-on with RAG architectures: embeddings, vector stores, chunking, re-ranking, and retrieval evaluation Experience with agentic orchestration frameworks (e.g., LangGraph, Semantic Kernel) and function/tool calling; Assistants-style APIs Data governance, privacy, and safety for AI systems (PII handling, prompt-injection defenses, content filtering, auditability) LLM observability and evaluation: offline/online evals, guardrails, prompt/version management and telemetry (e.g., LangSmith, PromptFlow, OpenTelemetry) Domain-specific AI for AEC (nice-to-have): extracting structure from BIM/IFC and construction docs; CAD/point-cloud processing Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site).
Jan 01, 2026
Full time
Software Architect page is loaded Software Architectlocations: EMEA - United Kingdom - Sheffield - Spaces Acerotime type: Full timeposted on: Posted Todayjob requisition id: 25WD93192 Job Requisition ID # 25WD93192# Position OverviewAutodesk's Architecture, Engineering, and Construction (AEC) Platform Data organization is seeking an experienced Software Architect to join its centralized Architecture team.In this role, you will be responsible for designing and building the systems and services that power cross-cutting data capabilities across both engineering teams in our organization: Information Lifecycle and Data Authoring, and their integration with Autodesk's existing and future AEC products.This opportunity is for you if you have a passion for the design of complex system architectures and are excited by the idea of transforming how AEC professionals use data to capture knowledge, inform decisions, and deliver projects.As a Software Architect in the centralized Architecture team, you will be at the forefront of designing the next generation of capabilities for the Autodesk Forma Industry Cloud. You'll collaborate with software architects in the centralized Architecture team as well as with software architects from the world's foremost applications and services for designing and constructing buildings and infrastructure, including Revit, Civil 3D, AutoCAD, the Autodesk Construction Cloud, and Autodesk Forma. You'll define the software architecture that reimagines the continuous flow of AEC Data (e.g. 3D models, 2D drawings, issue tracking, cost, sensor streams, etc.) and information throughout the entire lifecycle of a built asset, from design and construction through operation and maintenance.This is an individual contributor role reporting to the Distinguished Architect, AEC Platform Data, central Architecture team.# Responsibilities Define and evolve cross-team architecture for data platforms and services spanning Information Lifecycle and Data Authoring Establish standards, reference architectures, and reusable components; drive adoption across teams in the AEC Platform Data organization Lead architectural governance and architectural decision records (ADRs); run design reviews across teams Design and guide implementation of distributed systems and data platforms (APIs, schemas, event streams; batch and streaming) Ensure reliability, security, and performance; define SLOs and drive observability (metrics, tracing, logging) Partner across the AEC organization's product and platform teams to align roadmaps and integrations Communicate architectures with clear views and diagrams (e.g., C4) and executive-ready narratives# Minimum Qualifications Bachelor's degree in computer science, or equivalent experience 10+ years as a Software Architect in data-intensive cloud environments Experience with cloud services, API design, database architecture, big data tools and frameworks Strong understanding of data modeling, management and processing principles Excellent knowledge of software design and architecture Demonstrated ability to influence without authority and drive cross-team alignment Mastery of taking complex ideas and conveying them in a concise and impactful manner Excellent verbal, written communication, and presentation abilities to effectively communicate software architecture strategy to a variety of stakeholders Ability to collaborate with a global team# Preferred Qualifications Experience in the Architecture, Engineering, and Construction industry Cloud services experience with AWS strongly preferred (EC2, ECS, Lambda, API Gateway, S3, DynamoDB, RDS) Database architecture and technologies: Snowflake, relational, NoSQL Event-driven and streaming architectures: Kafka or Kinesis; exactly-once processing; schema evolution (Avro/Protobuf) API and service design: REST, gRPC, GraphQL; versioning and backward compatibility at scale Distributed systems and data platforms: microservices, service mesh, event-driven architecture, streaming processing Observability/SRE: OpenTelemetry, distributed tracing, metrics/SLOs for data services Knowledge graphs/semantic modeling (nice-to-have): RDF/OWL, property graphs, or feature stores for ML Experience designing and integrating AI systems and agents in enterprise environments; familiarity with Model Context Protocol (MCP) and tool/plugin ecosystems Hands-on with RAG architectures: embeddings, vector stores, chunking, re-ranking, and retrieval evaluation Experience with agentic orchestration frameworks (e.g., LangGraph, Semantic Kernel) and function/tool calling; Assistants-style APIs Data governance, privacy, and safety for AI systems (PII handling, prompt-injection defenses, content filtering, auditability) LLM observability and evaluation: offline/online evals, guardrails, prompt/version management and telemetry (e.g., LangSmith, PromptFlow, OpenTelemetry) Domain-specific AI for AEC (nice-to-have): extracting structure from BIM/IFC and construction docs; CAD/point-cloud processing Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site).
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast paced, high performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview As a Machine Learning Engineer, you will drive the development and continuous improvement of our AI/ML powered products, including recommender systems, NLP solutions, and LLM driven features. Your mission is to deliver advanced, production ready ML solutions that delight users while maintaining excellence in cloud based ML engineering with equal focus on Development and Operations. Key Responsibilities Develop, improve and productionise ML and LLM based features for our internal and external platforms to solve challenges like: High cardinality hierarchical classifications Personalised content filtering of legal documents Using ML/LLMs to network heterogenous text data at scale Building agent ready tools to leverage insights from our knowledge graph Leverage cloud architecture (primarily Azure) to deploy interpretable ML/DL solutions that scale efficiently. Collaborate with SMEs to ground research proposals to CUBE's dynamic, unstructured, high dimensional data. Continuously seek opportunities to innovate, learn, and apply the latest research to new products and services. Requirements Experience & Technical Skills: At least two years of professional experience in ML, ideally within the NLP domain. Solid understanding of statistical and machine learning techniques with ability to select models that best suit the problem at hand. Ability to write clear, robust, and testable code in Python. Confident using SQL and NoSQL/graph databases. Solid understanding of data structures, data modelling, and software architecture, especially cloud based. Mindset & Approach: A systems thinking approach with ability to think in O(n) as much as plan product orchestration. An engineer who can keep up with mathematically and statistically oriented colleagues. Natural creativity with a track record of exploring innovative use cases of data and applications of statistical/ML methods. Strong communication skills, capable of explaining complex technical concepts to employees across the business. Desirable: Experience building and deploying LLM based agentic solutions into production. Solid understanding of recommender system principles and how they work. Demonstrated proficiency through GitHub profiles/online portfolios, Stack Overflow or Kaggle contributions. Experience or interest in neurosymbolic AI. A healthy sense of humour, or short of this, a high weekly rate of Machine Learning puns. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Jan 01, 2026
Full time
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast paced, high performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview As a Machine Learning Engineer, you will drive the development and continuous improvement of our AI/ML powered products, including recommender systems, NLP solutions, and LLM driven features. Your mission is to deliver advanced, production ready ML solutions that delight users while maintaining excellence in cloud based ML engineering with equal focus on Development and Operations. Key Responsibilities Develop, improve and productionise ML and LLM based features for our internal and external platforms to solve challenges like: High cardinality hierarchical classifications Personalised content filtering of legal documents Using ML/LLMs to network heterogenous text data at scale Building agent ready tools to leverage insights from our knowledge graph Leverage cloud architecture (primarily Azure) to deploy interpretable ML/DL solutions that scale efficiently. Collaborate with SMEs to ground research proposals to CUBE's dynamic, unstructured, high dimensional data. Continuously seek opportunities to innovate, learn, and apply the latest research to new products and services. Requirements Experience & Technical Skills: At least two years of professional experience in ML, ideally within the NLP domain. Solid understanding of statistical and machine learning techniques with ability to select models that best suit the problem at hand. Ability to write clear, robust, and testable code in Python. Confident using SQL and NoSQL/graph databases. Solid understanding of data structures, data modelling, and software architecture, especially cloud based. Mindset & Approach: A systems thinking approach with ability to think in O(n) as much as plan product orchestration. An engineer who can keep up with mathematically and statistically oriented colleagues. Natural creativity with a track record of exploring innovative use cases of data and applications of statistical/ML methods. Strong communication skills, capable of explaining complex technical concepts to employees across the business. Desirable: Experience building and deploying LLM based agentic solutions into production. Solid understanding of recommender system principles and how they work. Demonstrated proficiency through GitHub profiles/online portfolios, Stack Overflow or Kaggle contributions. Experience or interest in neurosymbolic AI. A healthy sense of humour, or short of this, a high weekly rate of Machine Learning puns. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
A fintech startup in Greater London is seeking a talented AI Engineer to shape next-generation wealth management products. You will design and build LLM-driven solutions and collaborate with a high-caliber team to enhance AI capabilities. The ideal candidate has hands-on experience with LLMs and a product-driven mindset. This opportunity offers the chance to impact how the wealth management industry operates, along with a competitive salary and a range of benefits.
Jan 01, 2026
Full time
A fintech startup in Greater London is seeking a talented AI Engineer to shape next-generation wealth management products. You will design and build LLM-driven solutions and collaborate with a high-caliber team to enhance AI capabilities. The ideal candidate has hands-on experience with LLMs and a product-driven mindset. This opportunity offers the chance to impact how the wealth management industry operates, along with a competitive salary and a range of benefits.
Langbase is the most powerful AI cloud for building & deploying AI agents. We are engineers who love building tools for fellow developers. Check our /about page. CULTURE If you want to innovate at the cutting edge of AI development with developers from Google, Microsoft, Netflix, OpenAI, and several Fortune 500 companies - join us at Langbase. We believe in urgency, rigor, developer experience, and making ship happen, daily - done is better than perfect. You'll have a lot more ownership here than you can imagine. PRODUCTS Langbase started as a side project in 2020 (when Sam Altman and Greg Brockman gave Ahmad Awais access to their newly minted GPT3 model in July 2020), later it grew into a company processing 700TB of agentic memory and over 1.2 Billion agent runs per month. Langbase is the OG AI Cloud from 2020. Backed by incredible investors , including Tom Preston, CEO of GitHub, Luca Maestri, CFO of Apple, PWV, Firestreak Ventures, a16z Andreessen Horowitz scouts, Mento VC, AltaIR Capital. Amjad: Founder Replit, Paul: Supabase CEO, Dane Cloudflare CTO, Feross: Socket CEO, Zeno: Resend CEO, Anand: FirstQuadrant CTO, Ahmad: npm CTO, Logan/Paige: DevRel Google DeepMind, Britton, Microsoft Head of AI, and numerous founders & operators in DevTools space.Check our /about page for more info. ROLE OVERVIEW Langbase is redefining how developers build AI Agents with Memory. In this role, you'll help design and scale our agent platform and developer tools, powering a wide range of AI agent workloads across industries. RESPONSIBILITIES Design and build next-gen tools for efficient, reliable, and scalable AI agent development Improve speed, quality, and reliability of the agent codebase and engineering processes Evaluate new LLM features and research, creating seamless cross-model interfaces Contribute and thrive in a fast-paced, cutting-edge startup environment Turn research into practical features to augment agent capabilities GOOD FIT IF YOU HAVE Experience with AI agents, advanced tool use, MCP, and context engineering Ability to evaluate trade-offs for scalable, efficient, and reliable agent systems Strong proficiency in Bash, Python, or Node.js for automation and integrations Self-driven and comfortable owning major platform components Excellent problem-solving skills and ability to work independently BENEFITS Competitive salary package Join a small and fast-paced team with lots of ownership Exposure to cutting-edge AI/ML technologies and methodologies Remote distributed team (Flexible working hours with PST overlap) Opportunity to significantly influence product development & direction Work from wherever you want as long as you can maintain PST overlap Access to professional development resources and learning opportunities Collaborative & supportive work environment with award-winning engineers APPLY BELOW When in doubt, apply anyway. We highly encourage you to apply if this role interests you, even if you don't meet all the qualifications. Let's go!
Jan 01, 2026
Full time
Langbase is the most powerful AI cloud for building & deploying AI agents. We are engineers who love building tools for fellow developers. Check our /about page. CULTURE If you want to innovate at the cutting edge of AI development with developers from Google, Microsoft, Netflix, OpenAI, and several Fortune 500 companies - join us at Langbase. We believe in urgency, rigor, developer experience, and making ship happen, daily - done is better than perfect. You'll have a lot more ownership here than you can imagine. PRODUCTS Langbase started as a side project in 2020 (when Sam Altman and Greg Brockman gave Ahmad Awais access to their newly minted GPT3 model in July 2020), later it grew into a company processing 700TB of agentic memory and over 1.2 Billion agent runs per month. Langbase is the OG AI Cloud from 2020. Backed by incredible investors , including Tom Preston, CEO of GitHub, Luca Maestri, CFO of Apple, PWV, Firestreak Ventures, a16z Andreessen Horowitz scouts, Mento VC, AltaIR Capital. Amjad: Founder Replit, Paul: Supabase CEO, Dane Cloudflare CTO, Feross: Socket CEO, Zeno: Resend CEO, Anand: FirstQuadrant CTO, Ahmad: npm CTO, Logan/Paige: DevRel Google DeepMind, Britton, Microsoft Head of AI, and numerous founders & operators in DevTools space.Check our /about page for more info. ROLE OVERVIEW Langbase is redefining how developers build AI Agents with Memory. In this role, you'll help design and scale our agent platform and developer tools, powering a wide range of AI agent workloads across industries. RESPONSIBILITIES Design and build next-gen tools for efficient, reliable, and scalable AI agent development Improve speed, quality, and reliability of the agent codebase and engineering processes Evaluate new LLM features and research, creating seamless cross-model interfaces Contribute and thrive in a fast-paced, cutting-edge startup environment Turn research into practical features to augment agent capabilities GOOD FIT IF YOU HAVE Experience with AI agents, advanced tool use, MCP, and context engineering Ability to evaluate trade-offs for scalable, efficient, and reliable agent systems Strong proficiency in Bash, Python, or Node.js for automation and integrations Self-driven and comfortable owning major platform components Excellent problem-solving skills and ability to work independently BENEFITS Competitive salary package Join a small and fast-paced team with lots of ownership Exposure to cutting-edge AI/ML technologies and methodologies Remote distributed team (Flexible working hours with PST overlap) Opportunity to significantly influence product development & direction Work from wherever you want as long as you can maintain PST overlap Access to professional development resources and learning opportunities Collaborative & supportive work environment with award-winning engineers APPLY BELOW When in doubt, apply anyway. We highly encourage you to apply if this role interests you, even if you don't meet all the qualifications. Let's go!
causaLens delivers Digital Workers that enterprises can truly rely on. Soon, competing without Digital Workers will be impossible. Just as it became unthinkable to manufacture without machines. We've built the first factory and Operating System for creating, deploying, and governing Digital Workers. For too long, enterprises have been bogged down by repetitive work, an overload of tools, and costly consultancies. It's time to simplify. It's time for Digital Workers to take on the repetitive workflows, freeing humans to focus on what matters most. Trusted by leading companies like J&J, Cisco, IPG Group, and Syneos Health. Backed by over $50M in funding from world-class investors, including Molten Ventures (formerly Draper Esprit), Dorilton Capital, and IQ Capital, plus visionary angel investors such as the CEO of Revolut. Here are 2 articles that define our culture: 1. A Hiring Framework for a New Kind of Services Company 2. The Primacy of Winning We're looking for AI Engineers who are passionate about helping world-leading enterprises put cutting-edge AI agents into production. You'll work on impactful, high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale. What you'll bring: Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows. Client-facing experience with a forward-deployed engineering mindset. You'll work directly with both technical teams and business stakeholders to understand real-world challenges and deliver solutions that drive measurable impact. Strong solution architecture and delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions. What you'll do: Collaborate directly with top-tier enterprises to understand needs, design and deploy bespoke agentic workflows. Design and implement robust architectures that leverage the latest AI technologies. Lead the delivery of high-impact AI products from concept to deployment. Benefits We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following: 25 days of paid holiday, plus bank holidays carry over/sell holiday options (up to 5 days) Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Benefits to choose from, including Health/Dental Insurance Special Discounts Learning and development budget Work abroad days Office snacks and drinks Logistics Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approximately 3-hour in-person challenge followed by an in-person presentation and interviews. Have questions? We encourage open dialogue-reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at
Jan 01, 2026
Full time
causaLens delivers Digital Workers that enterprises can truly rely on. Soon, competing without Digital Workers will be impossible. Just as it became unthinkable to manufacture without machines. We've built the first factory and Operating System for creating, deploying, and governing Digital Workers. For too long, enterprises have been bogged down by repetitive work, an overload of tools, and costly consultancies. It's time to simplify. It's time for Digital Workers to take on the repetitive workflows, freeing humans to focus on what matters most. Trusted by leading companies like J&J, Cisco, IPG Group, and Syneos Health. Backed by over $50M in funding from world-class investors, including Molten Ventures (formerly Draper Esprit), Dorilton Capital, and IQ Capital, plus visionary angel investors such as the CEO of Revolut. Here are 2 articles that define our culture: 1. A Hiring Framework for a New Kind of Services Company 2. The Primacy of Winning We're looking for AI Engineers who are passionate about helping world-leading enterprises put cutting-edge AI agents into production. You'll work on impactful, high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale. What you'll bring: Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows. Client-facing experience with a forward-deployed engineering mindset. You'll work directly with both technical teams and business stakeholders to understand real-world challenges and deliver solutions that drive measurable impact. Strong solution architecture and delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions. What you'll do: Collaborate directly with top-tier enterprises to understand needs, design and deploy bespoke agentic workflows. Design and implement robust architectures that leverage the latest AI technologies. Lead the delivery of high-impact AI products from concept to deployment. Benefits We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following: 25 days of paid holiday, plus bank holidays carry over/sell holiday options (up to 5 days) Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Benefits to choose from, including Health/Dental Insurance Special Discounts Learning and development budget Work abroad days Office snacks and drinks Logistics Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approximately 3-hour in-person challenge followed by an in-person presentation and interviews. Have questions? We encourage open dialogue-reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at
We're on a mission to make real estate transactions smarter, faster, and friction free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal grade precision. We're trusted by leading firms like Goodwin, BCLP, and Ropes & Gray to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Role Overview We are seeking AI Engineers, ranging from mid level to senior to join our team as we build and scale innovative AI driven products that bring much needed transparency to the home buying process and transform the way property is transacted. Our current product transforms the way real estate professionals conduct due diligence, streamlining the analysis of extensive property portfolios previously involving tens of thousands of documents reviewed manually by legal teams. We're now evolving this product and developing new offerings to add even more value to our users. At Orbital, we leverage the most intelligent, bleeding edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AI agents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases. We are looking for Software Engineers who have transitioned into AI Engineering, or who have an interest in making that transition where you will be working on our cutting edge AI agent, Orbital Copilot. While commercial experience in a company is a preference, it is not mandatory. What matters most is you're an exceptional technical problem solver, interested in applying that skill set when using LLMs and agentic principles. You'll own the end-to-end design and development of AI driven features and systems, working alongside a dynamic and fast paced team focused on quality, usability, and impact. You will play a critical role in every stage of the development lifecycle, from discovery and design to implementation, deployment, and continuous improvement. Supported by a cross functional team, you will deliver impactful solutions initially to lawyers and then to a broader B2B customer base. You'll get a chance to: Take ownership of key AI technology decisions and lay the groundwork for the company's ambitious growth plans. Design, develop, and deploy AI driven systems and features, integrating state of the art LLMs. Collaborate with a cross functional team (AI Engineers, AI product managers, VP of AI, real estate legal domain experts and software engineers) to define user stories, rapidly experiment, and ship new features directly to customers to use Explore and implement advanced concepts such as multi agent systems, retrieval augmented generation (RAG), agentic architectures and next generation OCR pipelines Champion quality and reuse across the product and the codebase. Work across the business to ensure the features you develop have a real impact on customers and move key business metrics as we design and build a brand new product that doesn't yet exist in the market. Participate in architecture and code reviews to continuously improve the quality, maintainability, security, and scalability of our applications. You should apply if: ️ You have a background in software engineering and have made the transition into AI Engineering, or are motivated to make that transition. You are excited about the potential of LLMs, AI agents, and agentic architectures. You have in depth experience with full stack or backend Python development. You value shipping early and often to get customer feedback and then iterating quickly to improve the product. You have excellent verbal and written communication skills in English. You have proven experience delivering large, complex software engineering systems. It would also be nice if you have: Prior experience with LLMs (OpenAI's GPT 5, o1, and Claude models from Anthropic) or agentic systems. Any Frontend experience. Proven expertise in building highly secure, fault tolerant APIs. Experience building high performance, distributed systems at scale. A strong understanding of modern dev practices like 12 Factor, CI/CD, and observability tools such as Datadog or Prometheus. Exposure to GraphQL APIs and WebSockets for real time interactions. Benefits: Competitive starting salary Matched pension contributions Flexible working hours and location 25 days paid holiday (plus bank holidays) Professional equipment and personal development budget along with training opportunities to learn and develop your skills Cycle to work scheme An inclusive community enjoying all company off sites, lunches and socials Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job related knowledge, skills, experience, and business requirements.
Jan 01, 2026
Full time
We're on a mission to make real estate transactions smarter, faster, and friction free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal grade precision. We're trusted by leading firms like Goodwin, BCLP, and Ropes & Gray to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Role Overview We are seeking AI Engineers, ranging from mid level to senior to join our team as we build and scale innovative AI driven products that bring much needed transparency to the home buying process and transform the way property is transacted. Our current product transforms the way real estate professionals conduct due diligence, streamlining the analysis of extensive property portfolios previously involving tens of thousands of documents reviewed manually by legal teams. We're now evolving this product and developing new offerings to add even more value to our users. At Orbital, we leverage the most intelligent, bleeding edge models from leading AI labs like OpenAI, Google, Gemini and Anthropic. This is an exciting opportunity for someone who is passionate about LLMs, AI agents, and agentic architecture, and who wants to work at the forefront of AI technology in production use cases. We are looking for Software Engineers who have transitioned into AI Engineering, or who have an interest in making that transition where you will be working on our cutting edge AI agent, Orbital Copilot. While commercial experience in a company is a preference, it is not mandatory. What matters most is you're an exceptional technical problem solver, interested in applying that skill set when using LLMs and agentic principles. You'll own the end-to-end design and development of AI driven features and systems, working alongside a dynamic and fast paced team focused on quality, usability, and impact. You will play a critical role in every stage of the development lifecycle, from discovery and design to implementation, deployment, and continuous improvement. Supported by a cross functional team, you will deliver impactful solutions initially to lawyers and then to a broader B2B customer base. You'll get a chance to: Take ownership of key AI technology decisions and lay the groundwork for the company's ambitious growth plans. Design, develop, and deploy AI driven systems and features, integrating state of the art LLMs. Collaborate with a cross functional team (AI Engineers, AI product managers, VP of AI, real estate legal domain experts and software engineers) to define user stories, rapidly experiment, and ship new features directly to customers to use Explore and implement advanced concepts such as multi agent systems, retrieval augmented generation (RAG), agentic architectures and next generation OCR pipelines Champion quality and reuse across the product and the codebase. Work across the business to ensure the features you develop have a real impact on customers and move key business metrics as we design and build a brand new product that doesn't yet exist in the market. Participate in architecture and code reviews to continuously improve the quality, maintainability, security, and scalability of our applications. You should apply if: ️ You have a background in software engineering and have made the transition into AI Engineering, or are motivated to make that transition. You are excited about the potential of LLMs, AI agents, and agentic architectures. You have in depth experience with full stack or backend Python development. You value shipping early and often to get customer feedback and then iterating quickly to improve the product. You have excellent verbal and written communication skills in English. You have proven experience delivering large, complex software engineering systems. It would also be nice if you have: Prior experience with LLMs (OpenAI's GPT 5, o1, and Claude models from Anthropic) or agentic systems. Any Frontend experience. Proven expertise in building highly secure, fault tolerant APIs. Experience building high performance, distributed systems at scale. A strong understanding of modern dev practices like 12 Factor, CI/CD, and observability tools such as Datadog or Prometheus. Exposure to GraphQL APIs and WebSockets for real time interactions. Benefits: Competitive starting salary Matched pension contributions Flexible working hours and location 25 days paid holiday (plus bank holidays) Professional equipment and personal development budget along with training opportunities to learn and develop your skills Cycle to work scheme An inclusive community enjoying all company off sites, lunches and socials Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job related knowledge, skills, experience, and business requirements.
