---
title: 'iOS Engineer at AGI, Inc.'
canonical: 'https://feeny.ai/job/ios-engineer-agi-inc-san-francisco-t1e8e58hm2yc'
type: 'job'
last_seen: '2026-09-10'
---

# iOS Engineer at AGI, Inc.

- **Company:** AGI, Inc.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-05-27
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/agi-inc/3b1547bf-6f67-444d-8516-584bce59ff20

## 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.

Make AGI feel like it was always supposed to be on iPhone. Most "AI on iOS" today is a webview wrapper around a chat completion. That isn't the bar. The bar is: a user picks up their iPhone, the agent does the thing they actually wanted, and the experience feels like Apple shipped it themselves. You'll own the iOS surface for our agent — the app, the keyboard, the share-sheet integrations, the on-device runtime, and every place an Apple user expects an AI agent to show up but mostly hasn't. This is for the engineer who has strong opinions about ProMotion, who reads Apple Human Interface Guidelines for fun, and who can tell within thirty seconds of opening an app whether it was built by people who care.

🤩 Tasks you will own

- The iOS app and SDK end-to-end — architecture, performance, and polish — alongside our CTO
- Our on-device agent runtime on Apple silicon, and the Apple framework integrations (Core ML, MLX, App Intents, Live Activities, Shortcuts)
- The boring-but-existential stuff — App Store review, entitlements, background execution, battery and thermal profiles

🤚 Areas where you will assist

- Research, by helping land models that run fast and small enough on Apple silicon
- Product, by prototyping interaction patterns no one has shipped on iOS before
- Android engineers, by pushing back when something deserves to be deeply native vs. cross-platform

📚 Skills you'll be expected to teach

- How to ship iOS that survives Apple review and feels first-party
- How to read an iOS perf trace and find the actual bug

🧑‍🎓 Skills you'll be expected to learn

- Running LLMs on Apple Neural Engine at consumer scale
- What an agent looks like with full system context vs. inside the Apple sandbox
- Reliable agentic systems from the people who published the canonical papers on it

🏆 Timeline of success After 30 days — You've shipped a meaningful improvement to our iOS app — perf, polish, or a new capability — that a user would notice. You've named three things below bar and started fixing one. After 60 days — You own the iOS roadmap with the CTO. You've shipped a capability that uses an iOS-specific surface (App Intents, Live Activity, Shortcuts, or Apple Intelligence) in a way that makes the agent feel native. Other engineers ask you before they touch the iOS code. After 90 days — Our iOS experience is something you'd happily demo to an Apple engineer. You've shaped a launch and have a strong, opinionated plan for what an AGI iOS app looks like in twelve months that the team has bought into.

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

How to apply Send a link to an iOS app you've built or shipped, with one paragraph on a decision you'd defend to an Apple engineer. 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)

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