About the RoleThis is a hands-on, generalist product engineering role at an early-stage ambient intelligence startup, where you'll own the app experience end-to-end across iOS, Apple Watch, and Mac - along with the shared backend surfaces that power them. You'll work directly alongside product leadership, making real tradeoffs on the fly and shipping user-facing improvements without a fully-specified backlog. It's a rare opportunity to shape a consumer AI product from the ground up across hardware-adjacent and mobile platforms.
What You'll Do- Own app features end-to-end across iOS, watchOS, and Mac, working directly with product leadership without a structured backlog.
- Build and ship user-facing improvements addressing real issues surfaced from early product use - including wearable interaction reliability, cross-platform detection, and agent responsiveness.
- Move fluidly across UX, UI, backend, and AI/ML depending on what each feature needs, making scope and design tradeoffs independently.
- Integrate agent and LLM-based features - including tool use, memory, and retrieval - directly into the app experience.
- Collaborate with an ASR Engineer on shared backend and pipeline surfaces.
- Take features from design through ship through iteration based on real user feedback, without waiting for the next instruction.
What We're Looking For- 3+ years shipping consumer product features end-to-end across at least two platforms (mobile, desktop, wearable, or backend).
- Proficiency in Swift/SwiftUI for iOS and watchOS, with shipped apps to show for it.
- Comfort with Electron and web technologies (TypeScript/React) for the Mac client.
- Genuine, demonstrated capability across UX, UI, backend, and AI/ML - not deep in one and dabbling in the rest.
- Experience building and integrating agent/LLM-based features (tool use, memory, retrieval) into production consumer applications.
- Backend development experience building shared services and APIs across multiple client surfaces.
- Prior experience as one of the first engineers at an early-stage or pre-launch startup, shipping with minimal specification.
- Track record of making independent UX and scope decisions and implementing them directly without handoff.
- Nice to have: experience with real-time or streaming systems (audio processing, live data pipelines); prior work at an AI-native consumer app; wearable, hardware, or robotics product background.
LocationHybrid (3 days/week in office) - San Francisco Bay Area, California. Visa sponsorship is not available for this role.
