SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 150,000 - 215,000 / annual
LangChain is seeking a Deployed Engineer to join the Professional Services team, working directly with enterprise customers to build production-ready AI agents. This role bridges LangChain's platform and customer engineering teams, requiring deep technical expertise combined with strong client-facing communication.
You will own three primary engagement models: advising on agent architecture design and production best practices; co-building evaluation pipelines and agent systems alongside customer engineering teams; and embedding as a deployed engineer within customer organizations for extended projects, operating as a de facto team member shipping agent systems directly.
Key responsibilities include end-to-end agent development lifecycle work (architecture design, orchestration patterns, evaluation methodology, custom UIs, production deployment), applied AI work (post-training, supervised fine-tuning, harness engineering, trace mining, model selection), and translating vague enterprise workflows into concrete technical specifications.
You must have 4+ years of software engineering experience with deep Python expertise (TypeScript/JavaScript a plus) and 2+ years of hands-on production agent systems experience. Strong familiarity with LangChain, LangGraph, Deep Agents, or comparable frameworks is required, including multi-agent patterns and state management. You need deep experience designing and implementing evaluation methodologies for non-deterministic AI systems and must be comfortable articulating architectural decisions to technical stakeholders (engineers, architects, CTOs).
Nice-to-have skills include exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) using tools like Axolotl, Unsloth, or Hugging Face transformers, and experience with trace mining for continuous improvement loops.
LangChain is a Series B company ($125M raised from IVP, Sequoia, Benchmark, CapitalG, Sapphire Ventures) with 100M+ monthly open-source downloads, 6,000+ active LangSmith customers, and adoption across 35% of the Fortune 500, including Klarna, Coinbase, Workday, Lyft, and others.
About LangChain
AI / Data / Infrastructure — developer platform and framework for building LLM applications and agents.
