Base Salary
$160k - $225k/yr
Responsibilities
- Improve the core abstractions and runtime of the LangChain and LangGraph packages.
- Improve documentation across the LangChain ecosystem.
- Answer user questions and resolve community issues.
- Build example applications with LangChain that demonstrate how to create production AI systems.
- Maintain and improve the LangChain Python package as a core maintainer.
Requirements
- At least 5 years of software engineering or applied machine learning experience.
- Strong written and oral communication skills, including the ability to explain technical concepts clearly to technical and non-technical stakeholders.
- Ability to thrive in a fast-moving, unstructured environment and identify impactful work.
- Ownership-minded approach with the ability to manage work efficiently without close supervision.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
- The role is in person five days per week in San Francisco, California, or Boston, Massachusetts, with San Francisco preferred.
Tech Stack
Categories
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.