LangChain jobs, judged for you, free

What they do

LangChain makes software for building AI agents. LangSmith is its paid platform for tracing, evaluating, and deploying agents. It also maintains the open source frameworks LangChain, LangGraph, and Deep Agents. The company started in 2023, and it works with 35 percent of the Fortune 500.

What they value

• Build something great and ship early versions sooner.
• Share bold opinions from every level.
• Act as owners without waiting for permission.
• Run toward problems and work hard in a sustainable way.

Where they hire

Most roles are in the office in San Francisco, New York, or Boston, often five days a week. Some roles are hybrid. Sales and deployed engineers work across US cities, often remote near customers, and in London and Amsterdam. Postings do not mention visa sponsorship.

Teams and roles

Most engineering roles build LangSmith. The backend is in Go and Python, the frontend is in React and TypeScript, with Postgres and Redis. Levels go from early-career to lead and manager.

• LangSmith: frontend, backend, and fullstack engineers for tracing, monitoring, and evaluation.
• SmithDB: a database for AI observability data, in Rust on Kubernetes.
• Open source: the Python team for the LangChain and LangGraph packages.
• Research and Applied AI: improve the Engine agent and build reference agents.
• Also infrastructure, developer productivity, design systems, and security.
• Deployed engineering: help customers build and run agents, with strong Python and JavaScript.

Customer-facing technical roles travel 20 to 40 percent of the time. Other roles are in sales, customer engineering, design, and marketing.

What they look for

LangChain wants ownership, speed, and experience shipping LLM systems in production. Deployed roles want experience deploying agents for customers. The site does not describe the interview steps.