Full Stack Software Engineer, AI & Data Platforms (AiDP)

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your work, and there's no telling what you could accomplish.

Description

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. As a Full Stack Software Engineer on the team, you'll build the internal web tools and services that turn complex data into products teams across Apple rely on.

Responsibilities

• Develop and maintain a suite of internal web tools with a rich, data-dense experience built to UX requirements
• Build full-stack features end to end — frontend interfaces backed by REST APIs and backend services — that fetch, process, and present large, complex data
• Design and build backend services and REST APIs in Python to serve the data the frontend needs, reliably and at scale
• Ship solutions directly into the workflows of the teams who use them, and iterate quickly on real feedback to drive adoption
• Engage business, operations, and data engineering teams early to understand requirements, define solutions, and scope the work
• Use AI-assisted development tools and agents to prototype, investigate issues, and ship more with a small team against a rapidly evolving product

Minimum Qualifications

• 3+ years of software engineering experience spanning frontend and backend systems
• 2+ years proficiency in TypeScript, React and modern CSS (e.g., Tailwind)
• 2+ years experience designing and consuming REST, gRPC or similar API's
• 1+ years working proficiency in SQL and experience working with large, complex datasets
• Bachelor's degree in Computer Science, related field, or equivalent practical experience

Preferred Qualifications

• 1+ years experience building applications with modern AI tools and agents
• Track record shipping data-intensive UIs with complex state, real-time updates, and large-scale data visualization
• Strong design and UX craft, with the ability to translate ambiguous requirements into polished, intuitive interfaces
• Experience with cloud platforms (AWS, GCP , or Azure) and container orchestration (Kubernetes)
• Experience contributing to high-impact projects through cross-functional partnership with product, design, and infrastructure teams
• Clear communicator who can navigate architectural trade-offs and work effectively across teams