Senior Software Engineer, On-Device Health Agentic Systems

Role Number: 200690827-3956

Summary

We are seeking a senior iOS Software Engineer with deep experience building applications powered by Large Language Models (LLMs). This is a hands-on development role focused on creating the next generation of intelligent on-device experiences for Apple users.

You will be responsible for building cutting-edge iOS applications that serve as the primary interface for on-device AI. A key part of your role will be to explore and define the software architecture for a scalable, high-performance system that seamlessly integrates powerful LLM agents into the Apple ecosystem, all while prioritizing user privacy and on-device performance. This role is for an expert iOS developer passionate about building the foundational architecture for AI-driven applications.

This is a unique opportunity to define the future of intelligent applications at Apple. You will be at the center of building a new class of on-device experiences, setting the architectural foundation for how millions of users will interact with AI on a daily basis.

Description

What you'll build:

• AI-Powered iOS Applications: Architect and build innovative, high-performance on-device apps that showcase the power of intelligent LLM agents.
• Scalable On-Device Architecture: Design the client-side frameworks and architectural patterns for integrating LLM systems efficiently on iOS.
• LLM Agent Integration: Implement the software that connects user-facing applications to on-device and hybrid AI reasoning and planning engines.
• Interactive AI Prototypes: Rapidly build and iterate on application prototypes to explore new user interactions and architectural options.

Minimum Qualifications

• BS and 10+ years of professional software development with expert-level experience building high-performance, consumer-facing mobile applications and frameworks.

• Strong proficiency in a modern systems programming language such as C++, ObjectiveC/Swift, or Rust.

• Deep understanding of mobile system fundamentals: concurrency, memory management, and power optimization.

• Practical knowledge of how LLM-powered systems work, including agent frameworks and RAG architectures.

• Proficiency in AI-assisted development workflows, with experience going beyond simple code suggestions to tackle complex debugging, architectural trade-offs, or automation tasks.

Preferred Qualifications

• Experience with on-device ML frameworks like Core ML, Foundation Model, etc.

• Experience in SwiftUI and modern iOS architectural patterns.

• Knowledge of model quantization, caching, and other on-device optimization techniques.

• Experience with multi-platform development (e.g., building for both iOS and macOS).

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.