Software Engineer, Agentic Workflows

AppleCupertino, CA

About The Position

We're a team at Apple building the next generation of developer tooling, services, and workflows for how Siri and the AI experiences around it get built. The work sits at the intersection of agentic AI, developer tools, and evaluation infrastructure, driven by a belief that the way world-class AI products get built is changing, and we want to be the team defining what that looks like at Apple. The problem space is novel, the surface area is large, and what we build reaches a lot of people. 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; dig 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, pushing past everyday usage into 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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