Frontend Engineer for AI Observability & Evals Platform

Applied Methods Ltd; San Francisco (CA); Hybrid; USD 160,000 - 195,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Meals on in-office days (US)

Job summary

LangChain is seeking a Frontend Engineer for AI Observability & Evals Platform in San Francisco. You will develop user-facing features with React and TypeScript, build reusable UI components, and translate designs into high-quality, responsive code across devices.

You will collaborate with backend engineers and UX/UI designers in a fast-paced, startup environment. The role offers on-site work with hybrid possibilities for non-local candidates.

Qualifications

• 2+ years of Front-end engineering experience with React, TypeScript, and JavaScript.
• Experience building reusable UI components and front-end libraries.
• Familiarity with REST APIs and modern auth mechanisms (JWTs).
• Strong communication and collaboration in cross-functional teams.

Responsibilities

• 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 for multiple devices and browsers.
• Collaborate with backend engineers and UX/UI designers to improve usability.
• Optimize components for performance across a wide range of devices.

Skills

React

TypeScript

JavaScript

REST APIs

JWTs

UI/UX mindset

Communication

Ownership mindset

Education

Bachelor's degree in Computer Science or related field

Tools

Babel

Vite

Webpack

NPM

Yarn

Job description

LangChain is seeking a Frontend Engineer for AI Observability & Evals Platform in San Francisco. You will develop user-facing features with React and TypeScript, build reusable UI components, and translate designs into high-quality, responsive code across devices.

You will collaborate with backend engineers and UX/UI designers in a fast-paced, startup environment. The role offers on-site work with hybrid possibilities for non-local candidates.