Senior Software Engineer, On-Device Health Agentic Systems
Apple
- Location
- Onsite (Sunnyvale, California)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 day ago
About the role
Apple is seeking a Senior Software Engineer to architect and build high-performance on-device iOS applications powered by Large Language Models. This role focuses on defining the software architecture for scalable, privacy-first AI experiences that integrate LLM agents into the Apple ecosystem.
Skills
iOS Development
Swift
Objective-C
C++
Rust
Large Language Models
LLM Agent Frameworks
RAG Architectures
Core ML
System Architecture
Concurrency
Memory Management
Power Optimization
SwiftUI
Model Quantization
AI-assisted Development
Full job details
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.
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.
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.
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).
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).