Teams at LangChain

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Responsibilities include architectural design, high-volume data storage and query optimization, reliability engineering, testing, monitoring, alerting, production troubleshooting, root-cause analysis, documentation, and cross-functional feature delivery.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product, design, customers, and internal stakeholders to deliver scalable observability and evaluation capabilities. Write clean, tested code, design high-performance APIs, work with Postgres and Redis, and drive rapid project execution. The role requires strong fullstack engineering, communication, ownership, and customer engagement skills.

Own end-to-end test strategy for LangGraph Cloud and LangSmith across APIs, services, UI, data, and infrastructure. Build ephemeral Kubernetes test environments, improve CI/CD reliability and speed, create observability and performance testing workflows, establish quality baselines, and support incident remediation through regression tests and runbooks. The role requires Python and pytest expertise, API testing experience, and collaboration across infrastructure, backend, and frontend teams.