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$165,000 – $380,000
Listed on LangChain’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This is a hands-on technical role partnering directly with production AI customers to architect, deploy, and operate agent systems at scale. It suits experienced engineers who enjoy solving real-world problems across the full customer lifecycle and want to shape how AI agents are built in practice.
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 design fundamentals
- Experience designing agent-based or LLM-powered applications with multi-step workflows and orchestration
- Comfortable working directly with customers during evaluations and technical reviews
- Clear communication of technical tradeoffs
- Takes ownership of outcomes
Nice to have
- Deployed AI agents to production using LangChain, LangGraph, or similar frameworks
- Experience with LLM evaluation, observability, or guardrails
- Cloud environment experience (AWS, GCP, Azure)
- Container and Kubernetes knowledge
- Shipped and operated production software systems