---
title: 'AI Product FDE at AGI, Inc.'
canonical: 'https://feeny.ai/job/ai-product-fde-agi-inc-san-francisco-q8zs4r41qxgx'
type: 'job'
last_seen: '2026-09-10'
---

# AI Product FDE at AGI, Inc.

- **Company:** AGI, Inc.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-02-20
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/agi-inc/442fee6d-2c44-4a2d-9daa-d209a22a14d5

## Job description

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. 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](https://drive.google.com/file/d/1ZydjdMeMh3x-QItUPQFbJUbhBW-4-XHa/view?usp=sharing))

If you see possibility where others see limits, read on.

The technical face of AGI inside the world's biggest device makers. 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.

🤩 Tasks you will own

- 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

🤚 Areas where you will assist

- 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

📚 Skills you'll be expected to teach

- 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

🧑‍🎓 Skills you'll be expected to learn

- 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

🏆 Timeline of success 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.

💰 Compensation 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.

## About AGI, Inc.

## Company Overview
- **One-liner**: AGI, Inc. is an applied AI lab bringing superintelligence to the edge by building fully agentic, on-device AI that runs locally without cloud dependencies.
- **Entity Type**: Private (Seed stage – $20M raised)
- **Headquarters**: San Francisco, California, United States (also offices in India, Japan, Brazil)
- **Founded**: 2025
- **Founders**: Div Garg (CEO; co-founder background inferred from leadership), Steve Frey (Cofounder, Product)

## Core Business
- **Primary industry/industries**: Agentic AI / On-device Artificial Intelligence / Edge Computing
- **Target customers**: B2C (individuals using mobile devices) and B2B (partnerships with hardware makers like Qualcomm, Lenovo, Visa for agentic commerce)
- **Mission/purpose statement**: “Bring genuinely useful AGI into everyday life” – making superintelligence 100% secure, private, and accessible on the devices people already own.

## Products & Services
- **[AGI-0]**: A mobile-use agent that proactively handles tasks (booking taxis, ordering food, replying to messages, finding flights) by operating a user’s apps locally and personally. Fully agentic, no cloud round-trips.
- **[On-Device Foundation Models]**: AGI, Inc. runs its own foundation models on-device, enabling agents that act rather than just answer. Up to 96% faster processing-near-memory without hardware changes.
- **[Research & Developer Tools]**: Offers a blog, deeplearning.ai courses, and an evaluation framework for web AI agents.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: Total funding $20M (Seed round, September 2025, led by 11 investors including Techstars, individual angels)
- **Notable Investors/Partners**: Qualcomm Technologies (collaboration to bring agentic AI to Snapdragon-powered devices), Visa (transforming agentic commerce), Lenovo (proof-of-concept integration demonstrated at MWC), Anand V Lalwani (angel)
- **Growth Signals**: 26 employees, monthly headcount growth +4.3%, LinkedIn followers 22,530 (+3.5% monthly), 6 active job postings (+50% quarterly). Demonstrated prototype at MWC (March 2026) and a research preview released in October 2025. Monthly website visits ~38,700.

## Competitive Advantages
- **True On-Device AI**: No cloud round-trips – all data stays on the device, ensuring privacy, security, and low latency. Differentiates from cloud-dependent assistants.
- **Full Agentic Capability**: Agents act proactively on the user’s behalf, not just answer queries. Integrated with phone apps similarly to a human user.
- **Hardware Partnerships**: Early collaborations with Qualcomm (Snapdragon), Lenovo, and Visa give route-to-market and credibility.
- **Processing-Near-Memory Innovation**: Claims 96% faster processing without hardware changes, a significant efficiency moat.

## Strategic Focus
- **Current priorities**: Scaling the on-device agent platform, deepening hardware partnerships (Qualcomm, Lenovo), expanding agentic commerce (Visa), and hiring top AI/engineering talent. Growing presence in US, India, Japan, Brazil.
- **Direction for growth**: Deploy “superintelligence in your hands” to billions of devices – moving AI from data centers to pockets, driveways, and living rooms.

## Why Work Here
- **Culture**: Described as a place for “passionate builders, innovators, and dreamers”. High-impact mission to bring AGI to everyday life. Employee rating on LinkedIn 5.0/5.0 (1 review) – strong marks for work-life, compensation, culture, career.
- **Remote/hybrid/office**: Presence in San Francisco (HQ plus two other office locations), with additional team members in India, Japan, Brazil. Likely a flexible or hybrid model given global distribution.
- **Notable perks/engineering culture**: Flat structure with 26 employees; department breakdown shows technical roles (12%) and product (6%) plus research. Open positions: AI Researcher, ML Platform Engineer, iOS Engineer, Backend Engineer, Product Designer – indicating strong engineering and research focus.
- **Growth trajectory**: Early-stage startup with $20M funding and rapid hiring (+50% job postings quarterly). Opportunity to shape foundational AI product from early days.

## Sources
1. [theagi.company](https://theagi.company/)
2. [linkedin.com](https://www.linkedin.com/company/the-agi-company)
3. [theagi.company/build](https://www.theagi.company/build)
4. [jobs.ashbyhq.com/agi-inc/792da3fd-c1ae-4e06-9398-f40092f1d612](https://jobs.ashbyhq.com/agi-inc/792da3fd-c1ae-4e06-9398-f40092f1d612)
5. [jobs.ashbyhq.com/agi-inc/442fee6d-2c44-4a2d-9daa-d209a22a14d5](https://jobs.ashbyhq.com/agi-inc/442fee6d-2c44-4a2d-9daa-d209a22a14d5)

## Other roles at AGI, Inc.

- [iOS Engineer](https://feeny.ai/job/ios-engineer-agi-inc-san-francisco-t1e8e58hm2yc) — San Francisco, CA
- [Research Engineer - Evals](https://feeny.ai/job/research-engineer-evals-agi-inc-san-francisco-h3fm9b42ytfx) — San Francisco, CA
- [AI Researcher](https://feeny.ai/job/ai-researcher-agi-inc-san-francisco-3yc662yahsp8) — San Francisco, CA
- [AI Engineer - Backend](https://feeny.ai/job/ai-engineer-backend-agi-inc-san-francisco-v6qp81n5hys5) — San Francisco, CA
- [Product Designer](https://feeny.ai/job/product-designer-agi-inc-san-francisco-qfhz9cmpca8z) — San Francisco, CA