Full-Stack AI & Data Platform Engineer

Apple Inc.

Austin (TX)

On-site

USD 120,000 - 160,000

Full time

6 hours ago
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Job summary

Apple Inc. in Austin, Texas is hiring a Full Stack Software Engineer for AI & Data Platforms. You will build internal web tools and services that turn complex data into scalable products used across Apple.

You will work across frontend and backend, delivering features that fetch, process, and present data with real-time insights. The role emphasizes Python backend services, REST and GraphQL APIs, collaboration with data engineering and product teams, and using AI-assisted development to ship

Qualifications

  • 3+ years of software engineering across frontend and backend
  • Experience with TypeScript, React, and CSS frameworks
  • Experience building production backend services in Python
  • Experience designing and consuming REST, gRPC, or GraphQL APIs
  • Experience building applications with AI tools and agents
  • SQL experience with large datasets

Responsibilities

  • Develop and maintain internal web tools with data-dense UX
  • Build full-stack features from frontend to backend services
  • Design and implement Python backend services and REST APIs
  • Ship solutions into team workflows and iterate from feedback
  • Collaborate with business, operations, and data engineering teams
  • Leverage AI tooling to prototype and accelerate delivery

Skills

TypeScript
React
CSS (Tailwind)
Python
REST APIs
GraphQL
gRPC
SQL
AI tools & agents
Data visualization

Education

Bachelor’s degree in Computer Science

Tools

AWS
GCP
Azure
Kubernetes

Job description

Apple Inc. in Austin, Texas is hiring a Full Stack Software Engineer for AI & Data Platforms. You will build internal web tools and services that turn complex data into scalable products used across Apple.

You will work across frontend and backend, delivering features that fetch, process, and present data with real-time insights. The role emphasizes Python backend services, REST and GraphQL APIs, collaboration with data engineering and product teams, and using AI-assisted development to ship

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