Senior Software Engineer, On-Device Health Agentic Systems

• 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).

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