> Markdown version of [/jobs/ext/2681867-ai-engineer-llm-infra](https://www.wearedevelopers.com/jobs/ext/2681867-ai-engineer-llm-infra). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer - LLM Infra

- **Company:** Yutori, Inc.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Clusters, Nvidia CUDA, Large Language Models, Low Latency, Machine Learning Operations
- **Published:** August 31, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-B5A2466B29EC93853E/

## About the Role

* 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.

## 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.


## Related Videos

- [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution)
- [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load)
- [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia)
- [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms)
- [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia)
- [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)