Software Engineer, Agentic Workflows

Apple•Apply•Published 17 hours ago•First seen 17 hours ago

Summary

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.

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.

Description

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.

Responsibilities

Design and build software, services, and developer tooling that
shape how Siri and AI experiences get built
Prototype novel systems and workflows in close collaboration with
the engineers who use them
Scale successful prototypes into production systems the broader org
depends on
Partner with cross-functional teammates to define features, tools,
and workflows
Contribute to architecture decisions and help set the technical bar
for the team
Own the quality and reliability of what you ship through testing,
metrics, tooling, and infrastructure the team and customers can trust

Minimum Qualifications

3+ years of software engineering experience with strong CS
fundamentals
Proficiency in Swift, Objective-C, Python, Go, or another modern
language, strong engineers in adjacent stacks will pick up the rest
You've shipped software that people used, and you're ready to own
bigger pieces end-to-end
Strong working proficiency with generative AI coding tools, you've
integrated tools like Claude, Cursor, or Codex into how you work,
and have a point of view on where they help and where they don't
Genuine interest in software evaluation and quality, you want
measurement and data to be central to how you ship, not an
afterthought
Comfortable with ambiguity; when you're stuck, you dig in
Strong communication and a track record of working well across
teams
You seek out feedback and learn fast from the people around you
BS in Computer Science or equivalent experience

Preferred Qualifications

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, you've pushed past
everyday usage into custom agents, evals, or workflows
You follow the frontier closely, curious about new models and
techniques, with a point of view on where human-AI interaction is
headed