Frontend Engineer, AI Observability & Evals Platform

About Us

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. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement.

About The Role

We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging.

*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements.

What You Will Do

• Develop new user-facing features using React & TypeScript
• Build reusable components and front-end libraries for future use
• Translate designs and wireframes into high-quality code
• Optimize components for maximum performance across a vast array of web-capable devices and browsers
• Collaborate with fullstack and backend developers and UX/UI designers to enhance usability

What You Will Bring

• 2+ years of front-end engineering experience with strong proficiency in React, JavaScript, and TypeScript
• Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
• Familiarity with REST APIs and experience working closely with fullstack and backend engineers
• Knowledge of modern authorization mechanisms, such as JWTs
• A passion for user experience, design, and building clean, engaging, and intuitive interfaces
• Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
• The DNA to thrive in a start-up, fast-paced environment
• An ownership mindset; self-driven and proactive
• Strong computer science fundamentals, ideally with a degree in computer science or related field