Frontend Engineer (AI Experiences), Retail and Marcom Engineering - Jobs - Careers at Apple
- Build AI-powered interfaces: Build and ship React components and interfaces for AI-driven tools — streaming responses, structured outputs, conversational flows, and human-in-the-loop review — based on established patterns and requirements.
- Work with AI every day: Use AI coding agents and the team's AI tooling — agent skills, AI-assisted code review, automated tests — as part of your daily workflow. Review generated code critically, and help improve the guidance and instructions our agents rely on.
- Partner with Design: Work closely with designers to turn specs into pixel-accurate, accessible UI that meets the level of detail and intent they set.
- Deliver results: Own discrete features from implementation through testing and release, ship on schedule, and keep quality high with unit, visual, and end-to-end tests.
- Contribute to the foundations: Build and maintain components, documentation, and examples that work for both the engineers and the AI agents that use them.
- Advocate and grow: Share what you learn, champion healthy AI adoption among your peers, and grow your skills through code reviews and mentorship from senior engineers.
- 3 years using TypeScript and React in production applications
- Experience using JavaScript (ES6+), semantic HTML5, modern CSS, and responsive layouts
- Working knowledge of web accessibility (WCAG 2.1 AA) and building inclusive interfaces
- Hands-on experience using AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) in daily development, with the judgment to review and refine generated code
- Practical experience with Git and code review workflows
- BS or MS in Computer Science or equivalent professional experience
- Experience building interfaces that consume AI/ML model outputs, such as streaming LLM responses, structured generation, or chat-based UIs
- Familiarity with AI concepts: prompt engineering, tool use / function calling, and structured outputs
- Experience writing instructions, skills, or documentation that AI coding agents use
- Experience with design systems, component libraries, or design tokens
- Experience with Next.js (server-side rendering), Node.js, Sass/CSS Modules, Vite, Vitest, Playwright, and Storybook, or similar tools
- Experience with schema-driven UI and data contracts, such as GraphQL (including federated graphs), JSON Schema, or TypeBox
- Effective communicator who works well across technical and creative teams, from early design exploration through pixel-accurate implementation
- Curiosity and an eagerness to learn as AI tools and practices evolve
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🇬🇧 English