Jack & Jill/External ATS
Forward Deployed Engineer This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Salary: £80K - £110K + 0.30% - 0.50% Equity Company Description: AI-driven financial compliance startup Job Description: You will bridge the gap between engineering and customers, leading end-to-end pilot deployments for high-profile financial institutions. By building custom workflows and integrations, you will solve critical compliance pain points and translate field insights into product requirements, directly influencing the roadmap of a platform automating high-stakes operational review tasks. Location: London, UK Why this role is remarkable: Significant ownership and influence over product direction at an early-stage, fast-growing startup. Work directly with leading fintechs and banks on mission-critical financial crime and intelligence problems. Generous benefits including visa sponsorship, performance equity refreshes, and four weeks of work-from-anywhere annually. What you will do: Lead customer deployments from first engagement through implementation, launch, and post-go-live iteration. Build and rapidly ship custom workflows, configurations, and integrations directly within customer environments. Partner with leadership to synthesize customer learnings into actionable insights for the long-term platform strategy. The ideal candidate: 3+ years of experience in software or forward-deployed engineering, ideally in customer-facing environments. Strong fundamentals in Node.js, React, and TypeScript with the ability to build production-grade data pipelines. Exceptional problem-framing skills to translate messy, real-world operational pain points into structured technical solutions. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Forward Deployed Engineer This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Salary: £80K - £110K + 0.30% - 0.50% Equity Company Description: AI-driven financial compliance startup Job Description: You will bridge the gap between engineering and customers, leading end-to-end pilot deployments for high-profile financial institutions. By building custom workflows and integrations, you will solve critical compliance pain points and translate field insights into product requirements, directly influencing the roadmap of a platform automating high-stakes operational review tasks. Location: London, UK Why this role is remarkable: Significant ownership and influence over product direction at an early-stage, fast-growing startup. Work directly with leading fintechs and banks on mission-critical financial crime and intelligence problems. Generous benefits including visa sponsorship, performance equity refreshes, and four weeks of work-from-anywhere annually. What you will do: Lead customer deployments from first engagement through implementation, launch, and post-go-live iteration. Build and rapidly ship custom workflows, configurations, and integrations directly within customer environments. Partner with leadership to synthesize customer learnings into actionable insights for the long-term platform strategy. The ideal candidate: 3+ years of experience in software or forward-deployed engineering, ideally in customer-facing environments. Strong fundamentals in Node.js, React, and TypeScript with the ability to build production-grade data pipelines. Exceptional problem-framing skills to translate messy, real-world operational pain points into structured technical solutions. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Langchain
About the Role We're looking for a Solutions Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer facing skills. You'll work on everything from Kubernetes cluster design to multi agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting edge AI technology. You'll join a collaborative team environment with a strong engineering culture. About Us: At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production ready AI agents that teams can rely on. We began as widely adopted open source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Key Responsibilities Infrastructure & Platform Engineering: Design scalable, highly available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi region HA/DR strategies, and CI/CD pipelines Agent Engineering & Development: Design multi agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What We're Looking For Required Experience 7+ years of experience in a technical, hands on customer facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi zone deployments Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices Knowledge of database systems (relational databases, in memory data stores) including HA, replication, backup strategies, and sizing Experience designing high availability and disaster recovery solutions Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: 1+ years of experience building production AI/ML applications or agents Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent based applications Experience with state management patterns (short term and long term memory) Experience designing and implementing evaluation frameworks for AI applications Strong prompt engineering skills with experience in optimization and A/B testing Experience with vector stores, RAG patterns, and knowledge organization Experience with tool integration, API design, and error handling patterns Strong Python and/or TypeScript development skills Customer Facing: Customer facing experience with enterprise customers Experience conducting technical assessments or infrastructure audits Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes Strong problem solving skills with ability to analyze complex requirements and design elegant solutions Excellent customer facing communication skills, able to explain technical concepts to diverse audiences Experience working cross functionally with engineering teams, product teams, and customers Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation Ability to balance infrastructure architecture with agent development work Strong engineering background with hands on development experience Location: Europe (UK, Netherlands preferred) Remote with up to 25% travel Compensation: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
About the Role We're looking for a Solutions Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer facing skills. You'll work on everything from Kubernetes cluster design to multi agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting edge AI technology. You'll join a collaborative team environment with a strong engineering culture. About Us: At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production ready AI agents that teams can rely on. We began as widely adopted open source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Key Responsibilities Infrastructure & Platform Engineering: Design scalable, highly available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi region HA/DR strategies, and CI/CD pipelines Agent Engineering & Development: Design multi agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams What We're Looking For Required Experience 7+ years of experience in a technical, hands on customer facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi zone deployments Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices Knowledge of database systems (relational databases, in memory data stores) including HA, replication, backup strategies, and sizing Experience designing high availability and disaster recovery solutions Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: 1+ years of experience building production AI/ML applications or agents Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent based applications Experience with state management patterns (short term and long term memory) Experience designing and implementing evaluation frameworks for AI applications Strong prompt engineering skills with experience in optimization and A/B testing Experience with vector stores, RAG patterns, and knowledge organization Experience with tool integration, API design, and error handling patterns Strong Python and/or TypeScript development skills Customer Facing: Customer facing experience with enterprise customers Experience conducting technical assessments or infrastructure audits Strong communication skills with ability to explain technical concepts to diverse audiences Key Attributes Strong problem solving skills with ability to analyze complex requirements and design elegant solutions Excellent customer facing communication skills, able to explain technical concepts to diverse audiences Experience working cross functionally with engineering teams, product teams, and customers Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation Ability to balance infrastructure architecture with agent development work Strong engineering background with hands on development experience Location: Europe (UK, Netherlands preferred) Remote with up to 25% travel Compensation: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.