{"id":3174197,"url":"https://alion.io/job/apple-senior-software-engineer-on-device-health-agentic-systems-2","title":"Senior Software Engineer, On-Device Health Agentic Systems","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":91,"open_postings":885,"ghost_share":0.001,"stale_share":0.158,"repost_share":0.002,"time_to_fill_p50_days":97,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":225000,"max_usd":418000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3667},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"LLM","optional":false},{"name":"Objective-C","optional":false},{"name":"RAG","optional":false},{"name":"Rust","optional":false},{"name":"Swift","optional":false},{"name":"Core ML","optional":true},{"name":"Quantization","optional":true},{"name":"SwiftUI","optional":true}],"status":"live","first_seen_at":"2026-10-23T17:55:14Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T09:33:57Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"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.\nYou 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.\nThis 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.\nDescription\nWhat you'll build:\n- AI-Powered iOS Applications: Architect and build innovative, high-performance on-device apps that showcase the power of intelligent LLM agents.\n- Scalable On-Device Architecture: Design the client-side frameworks and architectural patterns for integrating LLM systems efficiently on iOS.\n- LLM Agent Integration: Implement the software that connects user-facing applications to on-device and hybrid AI reasoning and planning engines.\n- Interactive AI Prototypes: Rapidly build and iterate on application prototypes to explore new user interactions and architectural options.\nMinimum Qualifications\nBS and 10+ years of professional software development with expert-level experience building high-performance, consumer-facing mobile applications and frameworks.\nStrong proficiency in a modern systems programming language such as C++, ObjectiveC/Swift, or Rust.\nDeep understanding of mobile system fundamentals: concurrency, memory management, and power optimization.\nPractical knowledge of how LLM-powered systems work, including agent frameworks and RAG architectures.\nProficiency in AI-assisted development workflows, with experience going beyond simple code suggestions to tackle complex debugging, architectural trade-offs, or automation tasks.\nPreferred Qualifications\nExperience with on-device ML frameworks like Core ML, Foundation Model, etc.\nExperience in SwiftUI and modern iOS architectural patterns.\nKnowledge of model quantization, caching, and other on-device optimization techniques.\nExperience with multi-platform development (e.g., building for both iOS and 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