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$150,000 – $250,000
Listed on LangChain’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
You'll partner with customers to build and operate AI agent systems in production, handling everything from architecture design and POCs to deployment and ongoing advisory work. This role suits experienced engineers who want hands-on impact in applied AI and enjoy working closely with customer teams to solve real production problems.
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
- Strong Python and JavaScript fundamentals
- Systems fundamentals
- Designed agent-based or LLM-powered applications with multi-step workflows, orchestration, and failure handling
- Comfortable working directly with customers during POCs and technical evaluations
- Can explain technical tradeoffs clearly to developer audiences
- Take responsibility for outcomes
Nice to have
- Deployed AI agents in production using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
- Shipped and operated production software with real-world constraints