agi-inc
agi-inc15mo ago

AI Product Engineer

San Francisco Officefull-timemid
OtherAi Product Engineer
1 views0 saves0 applied

Quick Summary

Overview

Think Different. Build the Future. 🚀 Our Mission 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. Why AGI, Inc.

Key Responsibilities

Think from zero: Whiteboard the concept in the morning and demo it by evening. Own the full cycle from idea to shipped product.

Requirements Summary

Experience building agentic systems, tool-use pipelines, or autonomous workflows Deep familiarity with LLM serving infrastructure (embeddings, retrieval/vector stores, context windows) Experience with Python, TypeScript, Postgres, and GPU…

Technical Tools
kubernetesopenaipostgresqlpythonreactsveltetypescript

Responsibilities

~1 min read

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.

What We Offer

~1 min read

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

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.

Location & Eligibility

Where is the job
San Francisco Office
On-site at the office
Who can apply
Same as job location

Listing Details

Posted
February 20, 2025
First seen
May 5, 2026
Last seen
May 30, 2026

Posting Health

Days active
24
Repost count
0
Trust Level
15%
Scored at
May 30, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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agi-incAI Product Engineer