Sr Frontend Engineer (AI Experiences), Retail and Marcom Engineering

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world Join Apples Information Systems and Technology (ISu0026T) organization. ISu0026T is the engine behind everything Apple does for customers and for the people who build for them. Its Apples central nervous system. Supporting 2.5 billion active Apple devices processing billions of secure transactions and keeping the technology that defines modern life running flawlessly ISu0026T makes the impossible feel effortless.u2028u2028Do you love building solutions to handle global complexity and immense scale Imagine what you could do and Marcom Engineering an ISu0026T team builds and operates the systems and experiences that connect Apples products with its customers. The team owns the technology behind both Apples online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving. Together those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.

On Marcom Engineerings AI Experiences team we build AI-powered tools for Apples marketing and creative teams from AI-assisted copy workflows to AI Optimization (AIO) along with the AI foundations that help our engineers and the AI agents working alongside them ship on-brand work faster. nnWe are hiring a Senior Frontend Engineer to build the AI-powered tools our marketing and creative teams use every day and the AI foundations that change how our engineers ship. You will own features end to end from interfaces that stream structure and explain AI-generated content to the tooling that helps coding agents build with our design system correctly and on brand. This role sits at the intersection of frontend engineering and applied AI: youll turn the teams AI direction into shipped work define the schemas that connect models to UI and guide the engineers building alongside you. If you thrive on ambiguity care deeply about user experience and want to shape how people interact with intelligent systems we want to hear from you.

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 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 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 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 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 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 layoutsn2 years building interfaces that consume AI/ML model outputs (e.g. LLM responses structured generation streaming APIs or real-time inference results)nExperience with real-time data handling streaming protocols (SSE WebSockets NDJSON/JSONL) incremental rendering or progressive content deliverynExperience defining or consuming structured schemas and data contracts (e.g. GraphQL including federated graphs; JSON Schema; OpenAPI; or TypeBox)nExperience with application performance optimization techniques or caching solutionsnKnowledge of accessibility standards (WCAG 2.1 AA) and building inclusive interfacesnHands-on experience using AI coding agents (e.g. Claude Code GitHub Copilot Cursor) in daily development with sound judgment in reviewing and integrating generated codenBS or MS in Computer Science or equivalent professional experience

Experience building conversational or chat-based UIs with streaming LLM responsesnFamiliarity with AI/ML concepts: prompt engineering tool use / function calling structured outputs embeddings or RAG architecturesnExperience building agent-facing tooling such as MCP servers CLIs designed for agents or packaged agent skills and instructionsnExperience bringing AI into CI/CD workflows such as AI-assisted code review automated release notes or AI-driven quality gatesnFamiliarity with evaluating AI output evals golden datasets or LLM-as-judge scoringnExperience with design systems component libraries or design tokensnExperience with (server-side rendering) Sass/CSS Modules Vite Vitest Playwright and Storybook or similar toolsnEffective communicator who can work across both technical and creative teamsnExperience working in environments with ambiguity defining the shape of a product as the underlying AI capabilities evolve