GTM Engineer

Drive technical support automation and customer onboarding through AI-native agent development.

• •You will own the technical roadmap for how LangChain supports its users.
• •Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in.
• •Key Responsibilities Architect Customer Agents: Design and deploy production-grade agents 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.
• •Requirements AI-Native Developer: Deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops.
• •Engineering Foundation: Strong software engineer with at least 1 year of experience specifically shipping LLM systems in production.
• •Self-Directed "Founder" Mentality: Comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.