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