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$165,000 – $315,000
Listed on LangChain’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A technically hands-on role partnering with enterprise customers to architect, build, and deploy production AI agent systems using LangChain's platform. This suits engineers who thrive on solving real-world problems with customers rather than working on internal products, and who want to bridge the gap between technical depth and customer relationships.
Our summary, not LangChain’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 3+ years in software engineering, customer engineering, solutions engineering, or founding/product engineering in startup or scale-up
- Python and JavaScript proficiency
- Systems fundamentals
- Experience designing agent-based or LLM-powered applications with multi-step workflows, orchestration, and failure handling
- Comfortable working directly with customers during POCs and technical evaluations
- Ability to explain technical tradeoffs clearly to developer audiences
- Ownership mentality focused on outcomes
- Action-oriented problem-solving approach
- Genuine interest in production AI agent operation beyond demos
- 40% travel to customer sites
Nice to have
- Production deployment experience with AI agents, particularly LangChain or LangGraph
- Experience with LLM evaluation, observability, or guardrails
- Cloud environment experience (AWS, GCP, Azure)
- Container and Kubernetes knowledge
- Track record shipping and operating production software under real-world constraints