---
title: 'AI Engineer - Backend at AGI, Inc.'
canonical: 'https://feeny.ai/job/ai-engineer-backend-agi-inc-san-francisco-v6qp81n5hys5'
type: 'job'
last_seen: '2026-09-10'
---

# AI Engineer - Backend at AGI, Inc.

- **Company:** AGI, Inc.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-08-05
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/agi-inc/3f5a1963-8638-47c1-8711-9ceaf179e230

## 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.

Build the systems our agents run on. Make them feel like magic, not infrastructure. Our agents are only as trustworthy as the backend behind them. Every API call, every retry, every queued job is the difference between an agent that feels alive and one that feels like a chatbot. You'll own the systems that turn research into product — model orchestration, agent state, partner integrations, the data plane — and you'll make them fast enough, observable enough, and boring enough that the rest of the team can ship without thinking about them. This is for the backend engineer who has been the on-call hero before, who has strong opinions about queues and idempotency, and who wants to design infrastructure for a product where the floor is "millions of devices."

🤩 Tasks you will own

- The agent backend end-to-end — model orchestration, tool-use plumbing, agent state, retries, observability
- The data plane behind every agent action — Postgres schema, caching, queues, event streams — at OEM scale
- Production SLAs, on-call, and the reliability bar for everything the agent touches in the cloud

🤚 Areas where you will assist

- Research, by shipping their work to real users in days, not quarters — and feeding back what breaks in production
- Forward-deployed engineers, by giving them backends partners can integrate against without a six-week meeting
- iOS and Android, by drawing the right line between on-device and cloud so neither side carries the wrong weight

📚 Skills you'll be expected to teach

- How to design backends for LLM-powered systems where latency, cost, and non-determinism are first-class concerns
- How to run a production system you'd happily put your name on — observability, incident response, capacity planning

🧑‍🎓 Skills you'll be expected to learn

- The internals of agentic systems from the people who published the canonical papers on them
- What it takes to run agent infrastructure at OEM scale, across Samsung, OPPO, Lenovo, and Vertu devices
- On-device / cloud co-design — when to push compute to the phone and when to keep it on our side

🏆 Timeline of success After 30 days — You've shipped a meaningful change to the agent backend that a user would feel — latency, reliability, or a new capability. You can name the three weakest links in our infra and have started fixing one. You've taken a real on-call shift. After 60 days — You own a major surface of the backend. A research breakthrough has shipped through systems you designed. Other engineers route their hardest backend questions to you. You've set the reliability and observability bar that new services have to meet. After 90 days — Our agent backend is something you'd happily defend to an infra engineer at a top-tier consumer company. You've shaped the architecture for one of our partner launches and have a strong, opinionated plan for what our infra needs to look like to support 10M devices.

💰 Compensation Competitive cash and meaningful equity. Top-tier relocation and immigration support. SF, in person.

How to apply Send a link to a backend system you've built or operated, with one paragraph on a production decision you'd defend on a whiteboard. Plus your resume, GitHub, or LinkedIn. 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
- [Product Designer](https://feeny.ai/job/product-designer-agi-inc-san-francisco-qfhz9cmpca8z) — San Francisco, CA
- [AI Product FDE](https://feeny.ai/job/ai-product-fde-agi-inc-san-francisco-q8zs4r41qxgx) — San Francisco, CA
- [AI Engineer - Backend](https://feeny.ai/job/ai-engineer-backend-traversal-new-york-nxrd09sj5ams) — New York, NY