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AGI

iOS Engineer

San Francisco OfficefulltimemidAdded 1 month ago

About this role

Join a stealth AI startup building consumer-grade AI agents, and lead the iOS experience from ground up. You'll architect and ship an elegant native iOS app that integrates on-device LLM inference with Apple's frameworks, making AI feel like a first-party Apple feature.

What you'll do

  • Own the iOS app architecture, performance optimization, and polish end-to-end
  • Develop on-device agent runtime leveraging Apple Neural Engine and frameworks like Core ML, MLX, and App Intents
  • Handle App Store compliance, entitlements, background execution, and power management
  • Prototype novel iOS interaction patterns for agentic systems
  • Collaborate with research on model optimization for Apple silicon constraints
  • Establish iOS engineering standards and mentor other engineers on native best practices

What they're looking for

  • Expert iOS development with Swift and deep UIKit/SwiftUI knowledge
  • Performance profiling and optimization on Apple devices
  • Integration with Apple frameworks (Core ML, MLX, App Intents, Live Activities, Shortcuts)
  • App Store submission and review process expertise
  • Understanding of LLM inference and on-device model execution
  • Native app design aligned with Apple Human Interface Guidelines
  • Background execution and power optimization
  • Git, debugging, and modern iOS development tooling

Benefits

  • Competitive cash compensation and meaningful equity
  • Top-tier relocation and immigration support
  • Work with elite team from Stanford, OpenAI, and DeepMind
  • Shape the future of consumer AI on iOS
  • San Francisco in-person office
  • Access to cutting-edge AGI research and prototyping
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AGI

AGI Inc builds consumer-grade AI agents designed for everyday use across devices and platforms. The company is hiring for infrastructure, backend systems, evaluation, iOS development, and ML engineering roles to power model deployment, agent orchestration, and device integration at scale.

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Likely interview questions

  • Walk us through an iOS app you've shipped. What's one decision you made that you'd defend to an Apple engineer, and why?
  • How would you approach building an on-device LLM runtime on Apple Neural Engine with strict battery and thermal constraints?
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