Deployed Engineer, Professional Services (San Francisco)
About The Position
LangChain is seeking a Deployed Engineer to join their Professional Services team. This role involves working directly with enterprise customers to build reliable, production agents. The engineer will translate vague enterprise workflows into concrete software specifications and guide engineering teams through the solution, or build it themselves. Responsibilities can range from designing agent architecture for a week, co-building an evaluation pipeline over a few weeks, to being embedded within a customer's team for a quarter to ship agent systems. The ideal candidate has experience building real AI systems for production and can articulate technical tradeoffs.
Requirements
- 4+ years of software engineering experience with deep expertise in Python.
- 2+ years of hands-on experience building and shipping production agent systems.
- Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
- Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
- Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
- Comfortable operating across the full spectrum from advisory to embedded delivery.
Nice To Haves
- TypeScript/JavaScript experience.
- Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
- Experience with trace mining to drive continuous improvement loops.
Responsibilities
- Advising on agent architecture design, evaluation strategy review, and best-practice production guidance.
- Co-building with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
- Serving as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
- Handling agent engineering end-to-end, including architecture design, orchestration patterns, evaluations, custom conversational UIs, and production deployment.
- Applying AI knowledge in post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation methodology.
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
