About The Role

ABOUT THE ROLE

This is a hands-on, generalist engineering role at an early-stage AI consumer hardware startup, where you'll own the app experience end-to-end across iOS, Apple Watch, and Mac — plus shared backend surfaces that power them. You'll work directly alongside product leadership, making real product tradeoffs and shipping user-facing improvements quickly in a small, fast-moving team.

WHAT YOU'LL DO

Own app features end-to-end across iOS, watchOS, and Mac without a fully-specified backlog.
Ship user-facing improvements addressing real issues — watch tap-target reliability, cross-platform meeting detection, agent responsiveness.
Move fluidly between UX, UI, backend, and AI/ML depending on what each feature needs, making scope and design tradeoffs independently.
Integrate agent and LLM-based features (tool use, memory, retrieval) into the consumer app experience.
Collaborate with an ASR engineer on shared backend and pipeline surfaces.
Take features from design through ship through iteration, driven by real user feedback.

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 a Mac client.
Genuine, broad capability across UX, UI, backend, and AI/ML — not deep in one area and dabbling in the rest.
Experience as one of the first engineers at an early-stage or pre-launch startup, shipping with minimal specification.
Demonstrated experience building and integrating agent/LLM-based features into production consumer apps.
Backend development experience building shared services and APIs across multiple client surfaces.
Ownership mindset: you make the call and implement it directly, without handing off.
Nice to have: experience with real-time or streaming systems (audio, ASR, live data pipelines), wearable/hardware/robotics development, or prior work at an AI-native consumer app or hardware-adjacent startup.