Staff AI Builder (AI Native Mobile Engineer)

Remote, USA... All positions, unless otherwise specified, can be performed remotely (within the US and Canada)Full-TimeStaff

Salary190,000 - 280,000 USD per year

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Job Details

Self-starter energy.
Operate without a spec. You'd rather have a conversation, a sketch, and 24 hours than a 30-page PRD and a week.
Ship every day (or close to it). Not "make progress." Ship. Even rough. Even ugly. Momentum matters more than polish at this stage.
Push for more. You won't wait to be told what to do. You demand excellence of yourself and the people around you.
Hold strong opinions and change them when the evidence moves. You push back. You concede fast when wrong.
Deep experience building consumer mobile or web products that real people use. You know what good feels like on a phone, and you know how it fails.
Zero-to-one stage experience and the desire to do it again.
Taste. You can articulate why one design works and another doesn't. You have references. You notice details other people miss.
You can move from a blank screen to a working prototype without anyone holding your hand. Specs make you slower, not faster.
Deep in at least one of React, Swift, or Kotlin — and comfortable shipping in another. You don't treat the platform as someone else's problem.
AI-native in your daily workflow. Hands-on with Claude Code, Cursor, or equivalent.
Deep experience with agentic workflows, prompt engineering, context window management, MCP / function calling.

Take rough ideas (sketches, voice memos, half-finished docs) and turn them into something real and clickable, fast. The first version is usually the same day.
Build prototypes for the surfaces that make the product tangible: the map, widgets, Live Activities, voice, in-app moments where information surfaces automatically. Some will ship. Most will get thrown away. Both outcomes are useful.
Make tasteful UI calls without waiting for design to spec every pixel. Design refines. You get it 80% there.
Sit in the room when product direction gets debated. Push back when something doesn't feel right. We need engineers who are part of the conversation, not waiting for the output.
Use AI tooling aggressively. Orchestrate agents to generate code, write tests, and review your work.
Ship to test groups, watch how people actually use what you built, iterate. The feedback loop is short and you are inside it.

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