Sr Frontend Engineer (AI Experiences), Retail and Marcom Engineering - Jobs - Careers at Apple
- Build AI-powered interfaces: Design, implement, and ship production-ready React applications for AI-driven tools — streaming responses, structured outputs, conversational flows, and human-in-the-loop review — for the marketing and creative teams who rely on them.
- Define interaction schemas: Collaborate with AI/ML and backend teams to define the data contracts, response formats, and structured output schemas that bridge model capabilities and frontend rendering.
- Find new solutions: Prototype and iterate on novel UI patterns for AI interactions — real-time streaming, progressive disclosure of model reasoning, tool-use feedback, and review-and-approve workflows.
- Build the AI foundations: Build and maintain the tooling that brings AI into how we engineer — AI-assisted code review, release automation, and reusable agent skills in CI/CD — and the agent-facing interfaces (MCP servers, agent-friendly CLIs, machine-readable component metadata) that help coding agents use our design system correctly and on brand.
- Own outcomes: Lead the projects you own from technical design through deployment and iteration, shipping on schedule and improving based on user feedback, usage data, and evaluation results.
- Raise the bar: Lead code reviews, establish best practices for AI-facing frontend development, and create documentation and training on topics like streaming architectures, schema validation, and graceful degradation. Champion healthy adoption of AI-assisted development across the team.
- 5 years using TypeScript, React, JavaScript (ES6+), HTML5, and CSS3 in production applications, including responsive layouts
- 2 years building interfaces that consume AI/ML model outputs (e.g., LLM responses, structured generation, streaming APIs, or real-time inference results)
- Experience with real-time data handling — streaming protocols (SSE, WebSockets, NDJSON/JSONL), incremental rendering, or progressive content delivery
- Experience defining or consuming structured schemas and data contracts (e.g., GraphQL, including federated graphs; JSON Schema; OpenAPI; or TypeBox)
- Experience with application performance optimization techniques or caching solutions
- Knowledge of accessibility standards (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 sound judgment in reviewing and integrating generated code
- BS or MS in Computer Science or equivalent professional experience
- Experience building conversational or chat-based UIs with streaming LLM responses
- Familiarity with AI/ML concepts: prompt engineering, tool use / function calling, structured outputs, embeddings, or RAG architectures
- Experience building agent-facing tooling, such as MCP servers, CLIs designed for agents, or packaged agent skills and instructions
- Experience bringing AI into CI/CD workflows, such as AI-assisted code review, automated release notes, or AI-driven quality gates
- Familiarity with evaluating AI output — evals, golden datasets, or LLM-as-judge scoring
- 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
- Effective communicator who can work across both technical and creative teams
- Experience working in environments with ambiguity — defining the shape of a product as the underlying AI capabilities evolve
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Apple accepts applications to this posting on an ongoing basis.
Required Skills
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🇬🇧 English