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# Senior Systems Engineer - Special Projects

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Systems Engineering, Software Design Patterns, Python (Programming Language), Machine Learning, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Api Design, Objective C++, Data Pipelines
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bd66c62efd56a834

## About the Role

Do you have experience in Tooling?, Proficiency JavaScript and Python

Experience with or a strong understanding of Generative AI, LLMs, Agentic Systems, or RAG (Retrieval-Augmented Generation) workflows

Experience integrating LLMs into existing systems

Experience with API design, both for other engineers to use, but also for AI systems.

Minimum Qualifications

5+ years of proven experience in software development. Ideally on Apple platforms.

Strong proficiency in Swift and/or Objective-C

Deep experience with tools, frameworks, and design patterns common used on Apple platforms

## Description

This team nurtures state-of-the-art intelligence ideas into powerful, usable features and systems. We work with the latest AI research and our talented research teams to build innovative implementations of those ideas on Apple platforms. We discuss, debate, and iterate to quickly find out what works, what doesn't, and what will make of the most magical user experience. We're a small, nimble team, with varied skills, that's collaborates to make the best products","responsibilities":"Research, discuss, and debate the latest in intelligence capabilities across the industry, and the ways those capabilities could form the foundation of future Apple features and products. Including which ones are not a good fit.

Work with ML research teams to build implementations of cutting edge research on Apple platforms.

Integrate LLMs into existing systems to provide seamless intelligence-powered features and capabilities

Create robust, scalable architectures for systems that handle data orchestration for AI features

Be able to quickly build an idea so you and the team can work with hands-on products. Then iterate on the best of those prototypes.


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