Embedded AI Agent Engineer for Enterprise Deployments

LangChain

United States

Remote

USD 120,000 - 150,000

Full time

7 days ago
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Job summary

LangChain is seeking a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You will translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them.

You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their

Qualifications

  • 4+ years of software engineering experience with deep expertise in Python.
  • TypeScript/JavaScript a plus.
  • 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)

Responsibilities

  • Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
  • Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
  • Embedding: Serve 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.
  • Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
  • Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.

Skills

Python
TypeScript/JavaScript
Agent systems
Client-facing communication

Job description

LangChain is seeking a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You will translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them.

You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their

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