About The Position

Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs. You'll work alongside engineers, designers, and researchers to design, build, and ship software end-to-end from early prototypes to production systems running in the cloud. The team is investing heavily in agentic systems, the developer experience around them, and the evaluation infrastructure that tells us whether what we're shipping actually works. The work spans agent design, evaluation, cloud services, and developer tooling. You'll have meaningful autonomy in how you get there, and the opportunity to shape both what we build and how the broader org adopts it. The problems are hard, and the team is set up to help you grow into them.

Requirements

  • 3+ years of software engineering experience with strong CS fundamentals
  • Proficiency in Swift, Objective-C, Python, Go, or another modern language
  • Shipped software that people used, and ready to own bigger pieces end-to-end
  • Strong working proficiency with generative AI coding tools (e.g., Claude, Cursor, Codex)
  • Genuine interest in software evaluation and quality, with a focus on measurement and data
  • Comfortable with ambiguity and digging in when stuck
  • Strong communication and a track record of working well across teams
  • Seek out feedback and learn fast from people around you
  • BS in Computer Science or equivalent experience

Nice To Haves

  • Experience building and deploying cloud-based applications and services at scale
  • Background building developer tools and agentic workflows
  • Familiarity with modern cloud infrastructure (e.g., Kubernetes)
  • Proficiency with one or more scripting languages (Python, Ruby, Bash)
  • Deep expertise with generative AI coding tools, including custom agents, evals, or workflows
  • Follow the frontier closely, curious about new models and techniques, with a point of view on where human-AI interaction is headed

Responsibilities

  • Design, build, and ship software end-to-end from early prototypes to production systems running in the cloud.
  • Invest in agentic systems, the developer experience around them, and the evaluation infrastructure.
  • Work on agent design, evaluation, cloud services, and developer tooling.
  • Shape what we build and how the broader org adopts it.
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