Frontend Engineer, AI Observability & Evals Platform

Posted 9 Days Ago
3 Locations
In-Office
155K-195K Annually
Mid level
Information Technology • Software • Database
The Role
This role involves enhancing LangSmith's enterprise platform through developing user-facing features using React and TypeScript, creating reusable components, and collaborating with backend teams to improve usability.
Summary Generated by Built In

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. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

About the role:

In person 5 days/week in San Francisco, CA, New York, Boston, London, or Amsterdam

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. You will:

  • 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

In this role, you’re a good fit if you have:

  • Front-end engineering experience with strong proficiency in React, JavaScript and Type

  • Script

  • 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. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company

  • An ownership mind-set. You are self-driven and look for opportunities to make an impact.

  • Strong computer science fundamentals, ideally with a degree in computer science or related field

Compensation & Benefits:

  • We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

  • Annual salary range: $155,000-$195,000 USD

Top Skills

Babel
JavaScript
Jwt
Npm
React
Rest Apis
Typescript
Vite
Webpack
Yarn
Am I A Good Fit?
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The Company
123 Employees

What We Do

LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna.

LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more.

LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale.

LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead.

Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.

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