Full Stack Software Engineer, AI & Data Platforms, IS&T
Apple
- Location
- Onsite (Austin, Texas)
- Employment
- Full-time
- Level
- Mid Level
Posted 3 days ago
About the Role
Apple's AI & Data Platforms team within IS&T is seeking a Full Stack Software Engineer to build internal web tools and services. The role focuses on transforming complex data into reliable products and streamlining the adoption of generative AI solutions across the organization.
Skills
TypeScript
React
CSS
Tailwind
Python
REST APIs
gRPC
GraphQL
AI tools
SQL
Data visualization
AWS
GCP
Azure
Kubernetes
Full job details
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.
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.
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 building production backend services in Python 2+ years experience designing and consuming REST, gRPC, or GraphQL APIs 1+ years experience building applications with modern AI tools and agents 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
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
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.
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 building production backend services in Python 2+ years experience designing and consuming REST, gRPC, or GraphQL APIs 1+ years experience building applications with modern AI tools and agents 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
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