Frontend Engineer (AI)

Location: On-site in San Francisco, New York, or Boston, United States. Employees within commuting distance work from the office five days per week; hybrid arrangements may be available for candidates outside commuting distance depending on location and role requirements.

Annual salary: $160,000–$195,000 USD

Company

LangChain builds open-source frameworks and a platform for developing, evaluating, deploying, and operating AI agents at scale.

What you will do

• Develop user-facing features for LangSmith, an enterprise platform for LLM application observability, testing, and debugging.
• Build reusable React components and frontend libraries.
• Translate designs and wireframes into high-quality interfaces.
• Optimize components for performance across web-capable devices and browsers.
• Collaborate with fullstack and backend engineers and UX/UI designers to improve usability.

Requirements

• Work from the San Francisco, New York, or Boston office when within commuting distance; five office days per week are expected.
• 2+ years of frontend engineering experience with strong React, JavaScript, and TypeScript skills.
• Hands-on experience with Babel, Vite, Webpack, NPM, and Yarn.
• Familiarity with REST APIs and modern authorization mechanisms such as JWTs.
• Strong written and oral communication skills and the ability to explain technical concepts clearly.
• Strong computer science fundamentals; a computer science or related degree is preferred.

Nice to have

• Experience in a startup or fast-paced, unstructured environment.
• Strong interest in user experience, design, and clean, intuitive interfaces.

Culture & Benefits

• Ownership-focused environment where employees help define products and priorities.
• Medical, dental, and vision coverage.
• Flexible vacation and a 401(k) plan.
• Meals provided on in-office days in the United States.
• Compensation includes base salary, variable compensation for relevant roles, equity, benefits, and perks.

Hiring process

• Compensation scope and offer level are determined through the interview process based on impact, craft, leadership, and communication.
• Compensation is discussed before the offer stage.