---
title: 'AI Engineer — LLM Infra at Yutori'
canonical: 'https://feeny.ai/job/ai-engineer-llm-infra-yutori-san-francisco-california-s6mpqb89pyjt'
type: 'job'
last_seen: '2026-09-14'
---

# AI Engineer — LLM Infra at Yutori

- **Company:** Yutori
- **Location:** San Francisco California, United States
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-03-26
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/yutori/21fb72ad-0350-4275-a320-e419d910a483

## Job description

Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces. Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strong, and excited about building superhuman AI agents that take actions on the web. Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission. Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.

Responsibilities:

- Scale infra for post-training of multimodal LLMs (CPT, SFT, RL, search, reward models)
- Scale infra for agentic inference (throughput and latency of perception-planning-action loops)
- Build the foundations of a superhuman generalist web-agent
- Work closely with product engineers to translate cutting-edge AI capabilities into reliable product experiences.

What we’re looking for:

- Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)
- Experience optimizing post-training and inference performance of multimodal LLMs (data/tensor/pipeline/context/expert parallelism, optimizing MFU, throughput, latency)
- Low level systems experience (Triton, CUDA)
- High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.

Benefits and perks:

- Competitive salary and equity
- Visa sponsorship and relocation stipend to bring you to SF
- Generous health, dental, vision insurance for you and your dependents
- 20 days of paid time off per year
- Work laptop and budget to set up your work office
- Daily team lunches
- Commuter benefits
- Small, focused team of high-potential individuals. In-person in SF.

## About Yutori

## Company Overview
- **One-liner**: Yutori builds AI agents that autonomously browse and act on the web to handle everyday digital tasks, working toward an AI chief-of-staff for everyone.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2024
- **Founders**: Devi Parikh (Co-founder and Co-CEO), Dhruv Batra (Co-founder and Chief Scientist), Abhishek Das (Co-founder and Co-CEO)

## Core Business
- Primary industry: Artificial Intelligence / AI Agents
- Target customers: B2B (enterprise APIs), B2C (consumer products), and developers
- Mission: Reimagine how people interact with the web by building agent-first technology where users delegate tasks to background agents instead of manually browsing.

## Products & Services
- **Navigator API**: An OpenAI Chat Completions-compatible API providing access to n1.5, a state-of-the-art computer-use model optimized for browser automation. Supports hybrid vision + DOM interaction, JavaScript execution, and structured JSON output. Benchmarks: 94.5% Online-Mind2Web, 88.0% Navi-Bench v2, 93.0% Westworld. Pricing: $1.50 per 1M input tokens, $5.00 per 1M output tokens.
- **Scouts**: Always-on agents that monitor the web and alert users to changes (e.g., tracking campground reservations, price changes).
- **Delegate**: A consumer AI agent that users can hand tasks to and walk away, handling execution autonomously.
- **MCP Server & WebMCP Transport**: Hosted Model Context Protocol server and a public, no-auth web transport for agent interoperability.
- **Agent Skills Index & API Catalog**: Standards-based discovery endpoints (RFC 9727) for agent capabilities.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $15.0M in total seed funding (raised April 2025)
- **Notable Investors/Partners**: Lead investor Radical Ventures; 20 total investors in the seed round. Board member Rob Toews (Radical Ventures).
- **Growth Signals**: Headcount grew 164.3% year-over-year to 15 employees (as of mid-2026). Launched from stealth in March 2025 with $15M seed. Has presence in the US, Brazil, and Canada. LinkedIn followers grew 200.2% yearly to 4,680.

## Competitive Advantages
- **Full-stack ownership**: Trains its own web navigation models (n1.5) and builds agent-first interfaces, controlling the entire stack from model to product.
- **World-class founding team**: Previously worked at Meta (Llama 3 & 4, FAIR), Google (Gemini), DeepMind, Microsoft Research, Tesla Autopilot, Apple, Palantir, Minion, Riot Games, Stanford, CMU, Georgia Tech.
- **State-of-the-art benchmarks**: Leads on multiple web agent benchmarks (Online-Mind2Web, Navi-Bench v2, Westworld).
- **Agent-first architecture**: Built from the ground up for agentic web interaction, not retrofitted.

## Strategic Focus
- Scaling the Navigator API for enterprise and developer adoption.
- Expanding consumer products (Scouts, Delegate) to reach mainstream users.
- Continuing to train and improve proprietary computer-use models.
- Building toward an "AI chief-of-staff for everyone" — a persistent, reliable agent that handles a wide range of daily digital tasks.

## Why Work Here
- **Culture**: Founding team from top AI labs (Meta FAIR, Google DeepMind, Tesla Autopilot) with a mission to reimagine human-web interaction. Emphasis on building the full stack from models to product.
- **Workplace**: In-office policy at San Francisco HQ (on-site workspace). Employees work from physical offices.
- **Team**: Small but growing rapidly (15 employees, +164% YoY). Technical team dominates (7 in technical roles, plus research, design). Talent sourced from Meta, Apple, Microsoft, Georgia Tech, CMU.
- **Notable perks**: Work on cutting-edge AI agents with state-of-the-art models. Opportunity to shape product and culture at an early-stage, well-funded startup. $5 in free API credits for new developer accounts.
- **Recent job openings**: AI Engineer — Reinforcement Learning, AI Engineer — LLM Infra, Founding Account Executive.

## Sources
1. [yutori.com/company](https://yutori.com/company)
2. [yutori.com](https://yutori.com/)
3. [builtin.com](https://builtin.com/company/yutori)
4. [linkedin.com](https://www.linkedin.com/company/yutori-ai)

## Other roles at Yutori

- [Founding Account Executive](https://feeny.ai/job/founding-account-executive-yutori-san-francisco-california-x8r9kh8bd3x8) — San Francisco California, United States
- [AI Engineer — Reinforcement Learning](https://feeny.ai/job/ai-engineer-reinforcement-learning-yutori-san-francisco-california-0jxverzqat4h) — San Francisco California, United States