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GTM Engineer

LangChain· Engineering
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San Francisco, CA$160k - $180kFull-timePosted 8mo ago

About the role

GTM Engineer at LangChain focused on building AI-native systems to power technical support, onboarding, and customer success. Owns the technical roadmap to maximize case deflection and create a premium onboarding experience by deploying autonomous agents to solve complex problems before human intervention.

Responsibilities

  • Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
  • Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
  • Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
  • Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
  • Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.

Qualifications

  • AI-Native Developer: Deep understanding of the LLM stack (prompting, retrieval (RAG), cognitive architectures, and agentic loops) with likely experience building with LangChain or LangGraph.
  • Engineering Foundation: Strong software engineer (typically 3+ years) with at least 1 year of experience shipping LLM systems in production.
  • Self-Directed "Founder" Mentality: Ability to navigate ambiguity, identify high-impact problems, and drive them to completion autonomously.
  • Full-Stack Capability: Proficient in Python or TypeScript (ideally both) and able to build end-to-end applications.
  • Customer-Centric: Ability to translate a customer's technical pain point into a scalable system architecture.

Skills

Required:AI-Native developmentPython
Nice to have:TypeScript

Benefits

  • medical, dental, and vision coverage
  • flexible vacation
  • 401(k) plan
  • life insurance
  • in-office meals in the US
Last updated Oct 14, 2026. Interested? Apply on the company site.

About LangChain

Engineer reliable agents

LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.

AI agentsagent engineeringbrex-fastest-growing-2025liquid-ai-recruiting-targetopen source frameworksplatform

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