5 jobs found

Your new company You will join an Investment Management firm developing the next stage of its portfolio technology platform. The business is looking to add a new AI layer and wants an engineer who can turn that ambition into a secure, dependable capability used by the wider team. You will join an existing operation and work closely with colleagues across the product and technical delivery. Your new role This is a hands-on position spanning AI application development, backend engineering, data integration and production delivery. You will: Design, build and deliver the backend services and APIs that support the new AI layer. Develop controlled integrations with internal data and agreed external information sources, ensuring outputs are current and traceable. Work with a Frontend Engineer to connect the AI capability to the user interface and agree delivery priorities. Build appropriate security controls, including permissions, audit logging and safeguards for sensitive data. Establish automated tests and AI evaluations, then monitor accuracy, reliability, latency and cost once the capability is live. Release iteratively, using feedback from users to improve the product and documenting the systems you build. What you'll need to succeed You will bring strong software-engineering judgement alongside practical experience of building AI systems. We are particularly interested in: Around five or more years' relevant experience in software, machine learning or data engineering, with clear examples of taking applications beyond proof of concept and into production. Strong Python skills and experience developing backend services, APIs and data pipelines; SQL experience would be valuable. Hands-on experience with LLM applications, including areas such as agent workflows, tool use, retrieval or RAG, and connecting models to trusted data. Experience deploying and operating applications on a major cloud platform, with a sound approach to CI/CD, automated testing and monitoring. An understanding of AI evaluation, access controls, data protection and auditability when working with sensitive information. The ability to make pragmatic architectural decisions, collaborate with other engineers and explain technical trade-offs to stakeholders. Experience in investment management, wealth management, fintech or another data-sensitive environment would be advantageous, but demonstrable production AI delivery is the priority. What you'll get in return Competitive bonus package (sign on and yearly) Pension scheme Annual leave Hybrid working arrangements Additional benefits in line with company policy What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

AI Product Engineer - AI/Hardware/Manufacturing Location: Central London, primarily office-based with some flexibility. We're partnering with an AI startup building software to help engineers design and develop physical products faster. Combining machine learning with complex engineering software, their platform helps bring new hardware ideas closer to production. They're looking for an AI Product Engineer to build the interface between users and their AI-powered design systems. This is a hands-on opportunity to work across frontend, backend, and applied AI, helping engineers turn ideas into structured workflows and inspect and refine the results. What you'll be doing Build polished applications that help engineers describe, generate, and refine designs. Translate natural-language requests, images, and drawings into structured engineering specifications. Design agentic systems that interact reliably with tools, backend services, and CAD and geometry systems. Evaluate models, investigate failures, and decide when adaptation or fine-tuning is needed. Create workflows that let users review, correct, and guide AI-generated outputs. Own features across frontend, backend, and applied AI, from initial design through implementation. What we're looking for Strong product-engineering fundamentals and experience delivering user-facing software. A deep understanding of LLM behaviour , beyond prompting and basic API integration. Experience building agents that use tools and interact with backend services. Sound judgement around model selection, evaluation, and reliability. Confidence translating ambiguous user needs into practical product features. The ability to work across frontend, backend, and applied ML within a small, highly technical team. Experience that would stand out React, TypeScript, Python , and modern application architecture. Structured generation, tool use, RAG , model adaptation, or fine-tuning. Multimodal systems involving text, images, drawings, or technical inputs. Evaluation frameworks, observability, and testing for AI systems. CAD, geometry, engineering software, or human-in-the-loop workflows. We're interested in engineers who combine strong coding skills, a practical understanding of AI, and thoughtful product decisions to build software that works reliably for users.

Software Engineering Manager London (Hybrid) Permanent, Full-time Reports to the CTO Salary: £120,000 - £130,000 The role Our client is evolving its engineering organisation into a modern, high-performing, scalable team, and needs an Engineering Manager to lead that shift. You'll sit between technology, strategy and leadership: setting the technical culture, building the capabilities the team needs, and embedding engineering best practices across the business. This is a hands-on leadership role. You'll work with senior stakeholders and product leaders across an international organisation to shape a long-term technology vision, while coaching engineers and setting the standard for how software gets built. Tech stack Backend: Python, C# or Go Frontend: React or Angular Cloud: AWS, Azure or GCP What you'll do Lead, coach and mentor software engineers across a range of experience levels Run 1:1s, performance reviews and career development planning Drive hiring, onboarding and retention Oversee architecture decisions and keep them aligned with long-term technical strategy Stay hands-on where it counts: code reviews, design input, troubleshooting Partner with product to define roadmaps, scope projects and prioritise work Run sprint planning and delivery, track velocity and remove blockers Champion testing, CI/CD, monitoring and observability Guide incident response and root cause analysis Translate technical concepts into business impact, and the reverse Contribute to budgeting, resource planning and technology strategy What you'll bring Proven track record managing and developing software engineering teams Strong technical background in modern, cloud-native development Hands-on experience with AWS, Azure or GCP Experience with Agile and scalable engineering practices Familiarity with DevOps, microservices or data-driven architectures Experience leading geographically distributed or cross-functional teams Background in a high-growth, fast-paced environment Strong communication, conflict-resolution and organisational skills Ability to align team output with business goals while protecting solid technical foundations What's on offer The chance to build and shape a high-impact engineering organisation A collaborative culture where new ideas are encouraged Competitive salary, benefits and professional development support

We're looking for a Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. You'll work across the full application lifecycle, designing the services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing Own the application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear, scalable APIs using REST and/or GraphQL, including authentication, authorisation, versioning and streaming interfaces such as SSE or WebSockets. Build production frontend applications using React, TypeScript and JavaScript. Work closely with UX and product teams to turn designs into accessible, responsive and intuitive interfaces. Develop AI-specific user experiences including streaming responses, citations, source information, agent/tool progress and graceful error handling. Integrate with internal platforms and third-party services, considering security, scalability, performance and reliability. Establish automated testing across backend and frontend applications, including unit, contract and end-to-end testing. Work with the platform engineering team on deployment, observability, logging, tracing and operational readiness. Act as the technical owner for the application and integration layer, making and documenting key architectural decisions. Provide technical guidance, code reviews and mentoring to other engineers. You should have: Strong commercial experience with Python for backend and integration development. Strong TypeScript/JavaScript and React experience building production applications. Strong API design experience, including REST and/or GraphQL, authentication, authorisation, versioning and streaming. Hands-on experience with MCP (Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including services such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing and operating distributed or event-driven systems. A strong understanding of observability, testing and CI/CD practices. Experience working with data platforms or stores such as MongoDB, OpenSearch or Databricks. Experience integrating internal systems and third-party services securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity to have genuine ownership over how AI capabilities become usable, scalable software products. You'll be joining an AI-focused engineering environment where you can work at the intersection of software engineering, APIs, cloud infrastructure and generative AI, while helping establish the engineering standards and architecture that will support future products. If you're a senior engineer who enjoys moving between backend architecture and frontend delivery, wants ownership rather than simply a list of tickets, and is excited about where AI agents and modern application architecture are heading, we'd love to hear from you. INDLON 52212MSR The Portfolio Group are acting on behalf of our client in recruiting for this position.

FULL STACK PRODUCT ENGINEER £70,000 - £90,000 LONDON This is an exciting opportunity to join a newly created R&D function within a global international professional services business. You will be able to work with a small and hands-on multidisciplinary team spanning AI, Data Science, Data Engineering and Product Engineering with the opportunity to take products from concept through to production. THE COMPANY Our client is a leading professional services organisation with a global presence and a strong reputation for innovation. They are building a new research and development function focused on creating data driven products that solve real business problems. This is a rare opportunity to join a small, high calibre team that combines the agility of a startup with the resources and stability of a well-established organisation. THE ROLE Responsibilities include but are not limited to: Leading the development and delivery of applications from concept through to deployment Translate user needs and business requirements into scalable digital solutions Design and build accessible, responsive user experiences with a focus on usability and performance Develop reusable frontend components and maintain consistent application standards Ability to make a visible impact within a newly formed innovative function Ensure software quality through testing, automation, CI/CD and release management Ability to work on building AI-enabled product features YOUR SKILLS AND EXPERIENCE : At least 3 years prior experience in Full Stack Engineering Backend development experience using Node.js and/ or Python Frontend development experience using TypeScript, React and/ or Next.js Docker, Git, testing and CI/CD experience is essential Experience with Azure to maintain and deploy applications into production is highly desirable Previous experience within a product-led, Saas or startup environment Strong product mindset and desire to 'hit the ground running' SALARY AND BENEFITS £70,000 - £90,000 base salary Private Medical Contributory pension scheme HOW TO APPLY Please register your interest to Mia Randhawa by sending your CV through the 'Apply' link