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Responsibilities:

  • Advising: Design agent architectures, review evaluation strategies, and provide production best practices.
  • Building: Co-build with customer engineering teams across the ADLC in outcome-scoped engagements.
  • Embedding: Serve as a deployed engineer inside customer teams for extended periods, operating as a de facto member of their org.

Requirements:

  • 4+ years of software engineering experience with deep Python expertise; TypeScript/JavaScript a plus.
  • 2+ years of hands-on production agent system building.
  • Strong client-facing communication skills to articulate architectural decisions.
  • Experience with LangChain/LangGraph or comparable frameworks, including multi-agent patterns.
  • Familiarity with evaluation methodologies for non-deterministic AI systems.

Nice to Have:

  • Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models.
  • Experience with trace mining for continuous improvement loops.

Compensation & Benefits:

  • Competitive base salary, variable comp, equity, and standard benefits.
  • Medical, dental, vision, flexible vacation, 401(k), meals on in-office days in the US.

LangChain

LangChain makes intelligent agents ubiquitous by providing open-source frameworks and a platform for building, evaluating, and deploying AI agents. With $125M Series B funding and a growing team, we serve 35% of the Fortune 500 with a culture of impact and collaboration.

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