Software Engineer, Agentic Workflows

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

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

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