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GTM Engineer

LangChain· Engineering
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Hybrid (New York, NY), Hybrid (Austin, TX), Hybrid (San Francisco, CA)$160k - $180kFull-timePosted 5mo ago

About the role

GTM Engineer at LangChain responsible for building AI-native systems that power technical support, onboarding, and customer success engines. Owns the technical roadmap to drive case deflection and premium onboarding experiences by shipping autonomous agentic solutions.

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, cognitive architectures, agentic loops) with experience likely using 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: comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously
  • Full-Stack Capability: strong coding skills in Python or TypeScript (ideally both) and ability to build end-to-end applications
  • Customer-Centric: ability to translate customer pain points into scalable system architectures
  • Nice to Haves: LangSmith evaluation/monitoring expertise; experience with open-source projects; background in technical consulting, solutions engineering, or high-growth GTM teams

Skills

Required:AI-Native developmentPythonTypeScriptLangChain/LangGraphCustomer-centric design

Benefits

  • medical, dental, and vision coverage
  • flexible vacation
  • a 401(k) plan
  • life insurance
  • meals on in-office days 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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