Jobs at LangChain

The Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

The role involves developing new user-facing features for LangSmith, optimizing components, and collaborating with developers and designers to enhance usability.

The Senior Fullstack Engineer will build foundational product features and integrations to drive user acquisition, optimization, and monetization at LangChain, collaborating with various teams for growth.

Lead the technical architecture and implementation for LangSmith, collaborating with teams, mentoring juniors, and ensuring code quality.

Maintain and improve the LangChain Python package, enhance documentation, assist users, and build example applications.

The Full Stack Engineer will develop and implement features for the LangSmith platform, collaborate with teams, ensure high coding standards, and engage with enterprise customers.

The Principal Software Engineer will lead architectural decisions, mentor engineers, optimize system performance and reliability, and drive technical direction for LangChain's observability and evaluations platform.

Build and operate the LangSmith Deployments runtime for long-running AI agents: design distributed queue/worker systems, own state persistence and job claiming, implement resumable streaming, instrument production systems, participate in on-call and incident response, produce system documentation, and contribute to open-source LangGraph.

As a Backend Engineer, you will design and build backend systems and APIs for LangChain's observability and evals platform, optimizing performance and reliability while collaborating with cross-functional teams.

The Deployed Engineer will co-architect and build production AI agents, manage technical evaluations, and support customers with deployments and best practices.

The Product Manager will own the roadmap for LangSmith, working with customers and engineers to build features that enhance the observability and deployment of AI systems. The role requires a technical background and experience in product management.