GTM Engineer
Builds AI-native agents using LangChain stack to power technical support, onboarding, and customer success, driving case deflection and self-service. Requires 3+ years engineering with 1+ year production LLM systems, Python/TypeScript proficiency, and self-directed builder mindset.
About the job
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 customer experience.
- Own the Domain: Act as the product owner and technical lead, proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of systems.
- Dogfood the Stack: Be a key member of the feedback loop for the product team, identify gaps in frameworks, and contribute to LangChain and LangGraph open-source ecosystem.
- Build Onboarding Workflows: Develop "AI-native onboarding" experiences that automate documentation retrieval and code generation for enterprise customers.
Requirements
- AI-Native Developer with deep understanding of LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. Experience building with LangChain or LangGraph.
- Strong software engineer (typically 3+ years) with at least 1 year shipping LLM systems in production.
- Self-directed "Founder" mentality: comfortable with ambiguity, identifying high-impact problems, and driving to completion autonomously.
- Full-stack capability: strong coding skills in Python or TypeScript (ideally both), ability to build end-to-end applications.
- Customer-centric: translate customer technical pain points into scalable system architectures.
Nice to Haves
- Expertise with LangSmith for evaluation and monitoring.
- Experience building or maintaining open-source projects.
- Background in technical consulting, solutions engineering, or high-growth GTM teams.
Compensation
- Base salary: $160K - $180K
- Meaningful equity, medical/dental/vision coverage, flexible vacation, 401(k), life insurance, meals on in-office days.
Skills
LangChain, LangGraph, Langsmith, Python, TypeScript, LLMs, RAG, Prompt Engineering, Agentic Systems, Cognitive Architectures
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