> Markdown version of [/jobs/ext/4229008-software-engineer](https://www.wearedevelopers.com/jobs/ext/4229008-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Salary:** $184,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, IOS Applications, Apple IOS, Apple Mac Systems, Architectural Patterns, C++ (Programming Language), Memory Management, Mobile Application Software, Machine Learning, Objective-C (Programming Language), Software Architecture, Tensorflow, Software Engineering, System Programming, Systems Integration, Swiftui, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Ios Frameworks, Caching, Agentic-AI, Optimization Algorithms, Model Quantization, Virtual Agents, Model Inference, Multiplatform - **Published:** October 4, 2026 - **Apply:** https://www.themuse.com/jobs/apple/senior-software-engineer-ondevice-health-agentic-systems-9b9085 ## About the Role 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). Minimum Qualifications 5+ 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. A demonstrated ability to quickly master new languages and platforms is highly valued. Deep understanding of mobile system fundamentals: concurrency, memory management, and power optimization., Practical knowledge of how LLM-powered systems work, including prompt engineering, agent frameworks, or RAG architectures. ## Description 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., 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. Impact: 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. Responsibilities: Lead the development of sophisticated iOS frameworks and applications that integrate directly with on-device LLM systems on Apple platforms. Architect robust, scalable, and power-efficient software patterns for AI-powered features on iOS. Collaborate with ML and AI researchers to translate cutting-edge models into tangible application features. Implement and optimize the on-device components for LLM inference, context management, and tool execution.