Job Details

About LangChain

At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.

Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.

About the role

Our Applied AI team is the core team actually building AI products. In this role you'll implement various AI powered workflows, agents and full-stack applications. The workflows and applications you build will be for both internal usage and customer facing products. Much of the work you do will be open-sourced helping advance the OSS AI ecosystem. This role is onsite in San Francisco (preferred), New York, or Boston.

You will

• Implement AI workflows/applications end to end.
• Stay up to date with progress in agent development, and implementation techniques.
• Design and iterate on novel AI architectures to solve real world tasks.
• Build evaluation pipelines to test the agents you implement.

How to be successful in this role

• 3+ years of software engineering experience including 1+ year building AI applications professionally.
• Experience implementing evaluations for agents/workflows.
• A subject matter expert in the components that make up an AI application, and how/when to best utilize each: prompting/context engineering, retrieval methods, agent architecture, LLM inference APIs & what LLMs preform best in specific tasks (e.g. Gemini for multimodal).
• Strong coding skills in Python or TypeScript, ideally both.
• Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders.
• Startup DNA. The ability to thrive in a fast-moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and help drive he future success of the company.
• A naturally curious person, always interested in learning new skills and growing as an engineer.

Nice to Have

• Expertise in LangChain/LangGraph.
• Experience in Applied AI research roles.
• Experience building full-stack applications end-to-end, including both design/frontend & backend implementation.
• Processionally proficient in both Python and TypeScript.
• Experience maintaining open-source projects.