Agent engineering platform and open-source frameworks for production AI agents
LangChain pairs open-source agent frameworks (LangGraph, LangChain) with LangSmith, a commercial platform for agent observability, evaluation and deployment. Its stack of ClickHouse, Go, Rust and Kubernetes across AWS, GCP and Azure points to a high-volume telemetry business. Hiring is accelerating and skews senior, split between engineering and sales, which signals a push from developer adoption toward enterprise revenue backed by solutions-led pre-sales.
Notable leadership hires: Enterprise Sales Director
LangChain builds tooling that helps developers take AI agents from prototype to production. Its open-source frameworks, LangGraph, LangChain and Deep Agents, cover agent construction. Its commercial product, LangSmith, provides observability, evaluation and deployment. The company is privately held, headquartered in San Francisco, and has 201–500 employees. It hires across the United States, United Kingdom, Canada, the Netherlands and Singapore.
LangChain builds with Python, TypeScript, Go and Rust, plus React and Vite. Data runs on PostgreSQL, Redis and ClickHouse. Infrastructure uses Kubernetes, Terraform, Helm and Docker across AWS, GCP and Azure.
Yes. Hiring is accelerating, with sales the second-largest area after engineering. It includes an Enterprise Sales Director role and pre-sales work on proofs of concept.
LangChain hires in the United States, United Kingdom, Canada, the Netherlands and Singapore. Its headquarters is in San Francisco, CA.
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LangChain's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.