Frontend Engineer III, AI Experiences

Box•Redwood City, CA

4d•$165,000 - $206,500•Hybrid

About The Position

Box is on a mission to power how the world works together. Box AI is central to that mission—bringing intelligent assistance and agentic workflows to our customers across web, mobile, and desktop. The AI Experiences team builds the user-facing surfaces that make Box AI indispensable. We’re looking for a Software Engineer III to help deliver cross-platform AI experiences with speed and quality. You’ll focus primarily on front-end development in React and React Native, partnering closely with backend teams to ship delightful Box AI user experiences. If you’re passionate about making AI the new user interface for Box content, this role is for you.

Requirements

3+ years of professional software engineering experience with a strong focus on front-end.
Proficient in React / React Native, modern JavaScript/TypeScript, and front-end architecture patterns. Experience designing and building performant frontend applications with millions of users.
Demonstrated interest building AI or using AI to build things.
Demonstrated track record of driving projects with end-to-end ownership, navigating ambiguity and shipping iteratively in fast-paced environments.
Strong communicator who can collaborate across time zones and with cross-functional partners
Comfortable working across the stack including contributing to backend code when needed (e.g., Java spring framework, python etc).
Familiarity with cloud services, CI/CD, testing strategies, and observability practices.

Nice To Haves

Bonus points if you have a link to a project you built with Cursor/Claude.

Responsibilities

Build and ship front-end features for Box AI chat and agentic experiences across web and React Native.
Extend our web experience to mobile and desktop through a shared cross-platform codebase.
Collaborate with backend engineers to integrate APIs and services for performant, resilient AI features.
Contribute to CI/CD pipelines and deployment practices to enable weekly releases.
Design and run experiments (A/B tests, feature flags) to learn quickly and improve outcomes.
Uphold accessibility, performance, and quality standards through thoughtful engineering and testing.
Stay current with rapidly evolving AI model capabilities and translate them into customer value.
Participate in code reviews, technical discussions, and documentation to raise the bar for the team.
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.