Software Engineer (AI Developer Tools), AI & Data Platforms (AiDP)

The Developer Experience (DevX) Platform team builds the frameworks, services, and tools that empower internal engineering teams across Apple to move faster and ship with confidence. We’re now pioneering a Generative AI-powered Developer Experience Platform — reimagining how Apple engineers build, test, and deploy software. We’re looking for a talented Software Engineer to help build the next generation of AI-powered developer tooling, tools that hundreds of Apple engineers depend on every day. In this role, you’ll design and implement intelligent agents that transform the software development lifecycle end-to-end — from initial development through testing, deployment, and beyond. This is a unique opportunity to sit at the intersection of deep engineering fundamentals and cutting-edge AI agent development. You’ll tackle complex challenges across distributed systems, developer tooling infrastructure, and AI agent orchestration, all in service of making Apple’s engineers more productive than ever Minimum Qualifications Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field or equivalent practical experience. 4+ years of industry experience designing and building scalable, high-performance backend systems, with hands-on experience in cloud infrastructure, containerization, and CI/CD pipelines. Strong programming proficiency in Java and Python, with hands-on experience in relational and NoSQL databases and scalable service-oriented architectures. Experience developing AI agents using frameworks such as LangGraph, Claude Agent SDK, and similar libraries Preferred Qualifications A genuine passion for developer experience and deep empathy for building tools that empower engineers to do their best work. Experience with TypeScript and frontend development, along with exposure to additional backend technologies such as Go or Kotlin. Strong understanding of algorithms, data structures, distributed systems principles, and microservice architecture. Hands-on experience with Kubernetes for container orchestration and deployment at scale.