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Full Stack Software Engineer, AI & Data Platforms, IS&T

Apple, Inc.Austin, TX🇺🇸United StatesPosted 14 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job 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.

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, Google Cloud Platform , 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

Skills

SQL
AWS
Machine Learning
Azure
CSS
Generative AI
Google Cloud
GraphQL
Kubernetes
Python
REST
React
TypeScript
gRPC

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