AI Engineer, Enablement (London)
Role Summary
LangChain is seeking an AI Engineer for their Enablement team in London to onboard clients and teach agent development, with potential for significant impact.
About the Organisation
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.
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.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Enablement team works directly with companies building AI agents for production, getting new LangChain customers off to a fast, confident start. We own onboarding and instructor-led education for our customers, and run focused advisory sprints for accounts that need deeper support on architecture and evaluation.
You'll set the technical foundation for every new customer — teaching their teams to build effectively on the platform and advising on agent development and evaluation as they go.
You are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a 1:1 debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient.
Key Responsibilities
- Own onboarding and education for new enterprise customers to get them building effectively on the platform, fast
- Design and run live, hands-on workshops that build real product fluency, not just familiarity
- Run focused, time-boxed advisory sprints for customers working through architecture or evaluation challenges
- Build internal agents and tools that streamline how the Enablement team operates — automating our processes so the team scales without just adding headcount
- Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond 1:1 time
- Act as the voice of the new customer inside LangChain, feeding friction points back to Product and Engineering
- Stay current on agent engineering practice and fold what you learn into what you teach
Minimum Requirements
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Hands-on experience with LangSmith (evals, tracing, observability)
- Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- TypeScript/JavaScript in addition to Python
Working Conditions
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
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Eligibility Criteria
The job seeks candidates experienced in agent systems and education but does not clarify eligibility for international applications.
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