AGI

AI Product Engineer

1y ago
USA
AGI

AI Product Engineer

1y ago
USAaisoftware developmentfeature shipping

Engineer role bridging AI research and engineering to build trustworthy consumer-grade AI agents at scale.

About the company

  • Build everyday AGI. Trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.

Conditions

  • Competitive cash and meaningful equity. Covered international travel for partner work. Top-tier relocation and immigration support. SF, in person.

How to apply

  • Send a link to something you built with a customer or partner, your resume or LinkedIn, and two sentences on the hardest problem you've cracked under a real deadline. Every exceptional candidate hears back within 48 hours.

Other

  • We’re a stealth team of elite founders and AI researchers, with backgrounds spanning Stanford, OpenAI, and DeepMind . We’re industry leaders in mobile and computer-use agents, bringing these capabilities to consumer scale.
  • Grounded in years of agent research, our AI is designed with trustworthiness and reliability as core pillars, not afterthoughts.
  • We are supported by tier-1 investors who funded the first generation of AI giants; now they’re backing us to build the next: everyday AGI. (Watch the demo )
  • If you see possibility where others see limits, read on.
  • You'll be the connective tissue between AGI's research and engineering teams and the partners who put our agents in front of millions of users. You'll spend real time onsite — at global headquarters, R&D labs, and manufacturing facilities — turning vague partner asks into shipped capabilities. Then fly back, get into the codebase, and build the feature.
  • This is for engineers who get bored shipping internal tools. You want your work in a keynote demo.
  • The path from "interesting idea on a partner call" to "feature shipped on a flagship device" — prompts, evals, mobile code, and the launch readiness doc
  • Onsite technical leadership at one or more partners — you're the senior eng they call when something matters
  • End-to-end product surfaces for one or more agent capabilities, on-device
  • Research, by translating model improvements into partner wins
  • Partnerships, by building partner-ready demos that close deals and expand scope
  • Product engineering, by bringing partner feedback back in a way that actually changes what we build
  • How to scope a partner ask without freezing — turning "make it magical" into prompt + model + UX decisions
  • How to ship LLM-powered features that survive contact with a real device, a real user, and a real launch date
  • On-device inference, mobile constraints, and the engineering of running models outside the cloud
  • World-class consumer hardware product development, from the inside
  • Reliable agentic systems from the people who published the canonical papers on it
  • After 30 days — Onsite at least once with a partner. One agent capability shipped into our codebase. You know which model and agent assumptions break in their environment.
  • After 60 days — Partner PMs ping you directly. A feature you shipped is running on partner devices in pre-production. You can name, without a deck, the three things this partner needs from us next quarter — and you have prototypes for two of them.
  • After 90 days — Your work is in a partner launch path. You've made the case for the next major bet on this account and the team has bought in. Partner leadership references you by name.