Frontend Engineer, AI Observability & Evals Platform
$160k - $195k • San Francisco, CA • FullTime
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Infrastructure Engineer
About the job
LangChain is seeking a Frontend Engineer to join their AI Observability & Evals Platform team. This role will focus on developing and enhancing new features for LangSmith, an enterprise platform designed for LLM application observability, testing, and debugging. You will contribute to building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. LangChain is a fast-growing company with significant funding, offering a dynamic environment where your contributions can shape the future of AI technology.
Responsibilities
- Develop new user-facing features using React and 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 various web-capable devices and browsers.
- Collaborate with fullstack and backend developers and UX/UI designers to enhance usability.
Requirements
- 2+ years of Front-end engineering experience.
- 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.
- Passion for user experience, design, and building clean, engaging, and intuitive interfaces.
- Strong written and oral communication skills.
- Ability to thrive in a fast-paced startup environment.
- Ownership mindset and self-driven.
- Strong computer science fundamentals, ideally with a degree in computer science or related field.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
- Meaningful equity.
- Variable compensation for relevant roles.