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NEXTMOVEFDE careers · United States
LangChain

Deployed Engineer, Professional Services (San Francisco)

AI summary of the role

Deployed Engineer on the Professional Services team, working hands-on with enterprise customers to design, co-build, and ship production-grade AI agents.

What you’ll do

  • Advise on agent architecture design, evaluation strategy, and production best practices.
  • Co-build with customer engineering teams across the full Agent Development Lifecycle (ADLC).
  • Embed inside customer teams for extended engagements, shipping agent systems directly.
  • Own end-to-end agent engineering: orchestration patterns, evals, custom conversational UIs, production deployment.

What you’ll bring

  • 4+ years software engineering with deep Python expertise.
  • 2+ years hands-on building and shipping production agent systems.
  • Strong client-facing communication with technical stakeholders.
  • Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks.

Technologies

Python · TypeScript · JavaScript · LangChain · LangGraph · Deep Agents · Axolotl · Unsloth · Hugging Face transformers · TRL

About LangChain

Open-source and commercial platform for building, evaluating, deploying, and operating AI agents at scale.

Series B

Source and classification

Implementation & delivery · Evidence for this classification:

(LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll 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
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