Customer Engineer
LangChainFull timePosted 24 February 2026
Job Description
About the RoleWe're looking for a Customer Engineer to join our Enterprise Enablement team. In this role, you will serve as a trusted technical advisor to our new customers, blending technical expertise with a passion for education and enablement. You will be instrumental in accelerating developer and enterprise success with the LangChain ecosystem.You'll join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology.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.What You'll DoLead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the LangSmith platformCreate and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practicesDevelop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementationsAct as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teamsPartner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with LangChainStay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materialsWhat We're Looking For5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similarProven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python and a deep, practical understanding of the modern AI/LLM stackPassion for educating users on technical topics and deep empathy for the developer experienceDemonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guidesExceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholdersCapacity to operate independently in a fast-paced, ambiguous environment and manage multiple projects simultaneouslyAbility and willingness to travel up to 20% of time for customer engagementsPreferred:Hands-on experience building and deploying applications using LangChain, LangGraph, and LangSmith (or similar frameworks)Proficiency with TypeScript/JavaScript in addition to PythonLocation: London or Amsterdam preferred. Open to remote candidates within the UK and Netherlands.Compensation: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful e ... (truncated, view full listing at source)
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