Production AI Engineer: Architect & Deploy Agents

LangChain

United States

On-site

USD 150,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision coverage
401(k) plan
Flexible vacation

Job summary

LangChain is seeking a Deployed Engineer who will build and operate production AI agents for customer teams. You’ll co-design architectures, run POCs, and guide evaluations to secure the technical win. You’ll also help deploy agent-based apps, advise on best practices, and share reusable patterns across customers.

You will work directly with customers, understand their constraints, and contribute to production-grade solutions, ensuring reliable operation and client satisfaction.

Qualifications

  • 6+ years in a relevant technical role (software engineering, customer engineering, or solutions engineering).
  • Experience designing agent-based or LLM-powered applications beyond simple API calls with multi-step workflows.

Responsibilities

  • Co-architect and co-build production AI agents with customer engineering teams.
  • Own the technical win in pre-sales by designing POCs and answering deep technical questions.
  • Help customers deploy and operate agent-based applications, including conversational and research agents and multi-step workflows.
  • Advise customers post-sale on architecture and best practices.
  • Run technical demos, trainings, and workshops for developers.
  • Surface field feedback and contribute reusable patterns and code across customers.
  • Occasionally contribute upstream code to improve customer outcomes.

Skills

Python
JavaScript
Systems fundamentals
Agent-based apps
Customer engagement
Outcomes focus
Bias toward action
Production AI

Tools

LangChain
LangGraph
Kubernetes basics

Job description

LangChain is seeking a Deployed Engineer who will build and operate production AI agents for customer teams. You’ll co-design architectures, run POCs, and guide evaluations to secure the technical win. You’ll also help deploy agent-based apps, advise on best practices, and share reusable patterns across customers.

You will work directly with customers, understand their constraints, and contribute to production-grade solutions, ensuring reliable operation and client satisfaction.

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