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Salary: USD 150,000 - 250,000 / annual
LangChain is seeking a Deployed Engineer to work directly with enterprise customers building and operating AI agents in production. This is a hands-on, highly technical role at the intersection of engineering, product, and go-to-market.
You will co-architect and co-build production AI agents with customer engineering teams, owning the technical win from pre-sales POC design through post-deployment advisory. Responsibilities include designing and evaluating agent architectures, helping customers deploy and operate agent-based applications (conversational agents, research agents, multi-step workflows), running technical demos and workshops, and surfacing field feedback to inform platform improvements.
The role requires 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, or founding/product engineering), ideally in a startup or scale-up environment. You must have strong Python and JavaScript fundamentals, systems design experience, and hands-on experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
You should be comfortable working directly with customers during POCs and technical evaluations, able to explain technical tradeoffs clearly, and excited about operating AI agents in production rather than building demos. Experience with LangChain, LangGraph, LLM evaluation, observability, cloud environments (AWS, GCP, Azure), containers, and Kubernetes is a plus. The role involves up to 40% travel to customer sites.
LangChain has raised $125M at Series B from top-tier investors and serves 6,000+ active customers including 5 of the Fortune 10 and 35% of the Fortune 500. The company offers competitive compensation, meaningful equity, and comprehensive benefits.
About LangChain
AI / Data / Infrastructure — developer platform and framework for building LLM applications and agents.
