AI Engineer, Enablement (Amsterdam)

bAbout Us /bpAt 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. /pbrAls u geïnteresseerd bent om op deze vacature te solliciteren, zorg er dan voor dat u voldoet aan de volgende, hieronder vermelde vereisten.brpWith $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. /ppToday, 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, , Nvidia, and Bridgewater. /pAbout the TeampThe 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. /pAbout the RolepYou'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. /ppYou 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. /pWhat You’ll DoullipOwn onboarding and education for new enterprise customers to get them building effectively on the platform, fast /p /lilipDesign and run live, hands‑on workshops that build real product fluency, not just familiarity /p /lilipRun focused, time‑boxed advisory sprints for customers working through architecture or evaluation challenges /p /lilipBuild internal agents and tools that streamline how the Enablement team operates — automating our processes so the team scales without just adding headcount /p /lilipCreate enablement assets (tutorials, reference implementations, best‑practice guides) that scale beyond 1:1 time /p /lilipAct as the voice of the new customer inside LangChain, feeding friction points back to Product and Engineering /p /lilipStay current on agent engineering practice and fold what you learn into what you teach /p /li /ulWhat You’ll BringpbTechnical: /b /pullip3+ years building LLM/agent applications — you've designed real agent architectures and evaluation strategies, not just wired up an API call /p /lilipStrong Python, comfortable writing and debugging code live, in front of a customer /p /li /ulpbCustomer‑facing education: /b /pullip2+ years in a technical, customer‑facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops /p /lilipGenuine enjoyment of teaching — you'd rather leave a customer more capable than impressed /p /lilipCan take a complex technical concept and land it with both an individual developer and a room of enterprise stakeholders /p /li /ulpbAdditional: /b /pullipComfortable operating independently in ambiguity, managing several customer engagements at once /p /lilipWilling to travel up to 20% for customer engagements /p /li /ulNice to HaveullipYou’ve deployed bAI agents in production /b, especially using bLangChain, LangGraph /b, or similar frameworks /p /lilipHands‑on experience with LangSmith (evals, tracing, observability) /p /lilipExperience with bcloud environments /b (AWS, GCP, Azure), containers, and basic Kubernetes concepts /p /lilipTypeScript/JavaScript in addition to Python /p /li /ulpbCompensation Philosophy: /b /ppWe 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. xgiwjmb /pBenefitspBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. /pbr