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LangChain

Builds open-source tools for making AI agents

Frontend Engineer - AI Observability & Evals Platform

Frontend EngineeringUpdated on Nov 14
Full-timeIn-person

About the Job

Requirements

  • At least 2 years of front-end engineering experience with strong proficiency in React, JavaScript, and TypeScript.
  • Hands-on experience with front-end development tools including Babel, Vite, Webpack, NPM, and Yarn.
  • Familiarity with REST APIs and experience working closely with full-stack and backend engineers.
  • Knowledge of modern authorization mechanisms, such as JSON Web Tokens (JWTs).
  • Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to technical and non-technical stakeholders.
  • Strong computer science fundamentals.

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 a wide range of web-capable devices and browsers.
  • Collaborate with full-stack and backend developers and UX/UI designers to enhance usability.

Desired Qualifications

  • A degree in computer science or a related field is ideal.
  • Passion for user experience, design, and building clean, engaging, and intuitive interfaces.
  • Ability to thrive in a fast-paced startup environment and identify impactful work in unstructured settings.
  • Self-driven ownership mindset and initiative to make an impact.

About the Company

LangChain

Builds open-source tools for making AI agents

LangChain makes free, open-source code libraries and a paid platform that software teams use to build and run AI agents, programs that use large language models to plan and finish tasks on their own. Its first library came out in October 2022, a month before ChatGPT, and in 2023 GitHub listed it among the open-source projects with the most contributors. Developers write agents with its LangChain, LangGraph, and Deep Agents libraries, which connect AI models to company data and software tools. Companies then pay for LangSmith, a platform that records each step an agent takes, scores its answers, and hosts finished agents. LangChain was founded in 2023 and is based in San Francisco.

Company size
201-500
Company stage
Late Stage VC
Total funding
$460M
Headquarters
San Francisco, CA
Founded
2023

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