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Nous Research

Open-source AI research enabling decentralized training

Software Engineer - General

Software EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • A few years of experience building and shipping production software used by real people.
  • Depth in at least one area—frontend, backend, infrastructure, systems, or machine-learning tooling—and ability to work beyond that area.
  • Fluency in TypeScript and Python, and comfort using Rust when appropriate.
  • Heavy use of AI-assisted development in one's workflow.
  • Clear communication and low-ego collaboration in a small team where everyone reviews one another's code.

Responsibilities

  • Build product surfaces across Hermes Agent and Nous Portal for web, desktop, and mobile.
  • Build backend services and application programming interfaces that support real usage.
  • Work on the cloud platform and infrastructure behind products and model serving.
  • Build developer and research tooling to improve team productivity.
  • Address the highest-leverage problem as priorities change.

Desired Qualifications

  • Experience with AI products, large language model applications, agents, or tool-calling workflows.
  • Open-source contributions or side projects to share.
  • Familiarity with modern AI infrastructure, including PyTorch, OpenAI-compatible application programming interfaces, model routing, or inference.

About the Company

Nous Research

Open-source AI research enabling decentralized training

Nous Research creates open-source AI models and simulators using a decentralized, community-driven approach that coordinates contributors worldwide to share idle GPU power. Its Hermes language models, along with tools like Psyche Network, DisTrO, DataForge, and Atropos, enable training and development through a token-based system on the Solana blockchain. This setup emphasizes transparency, auditable training workflows, and greater model steerability compared to many commercial systems, supported by open-source infrastructure. The goal is to democratize access to advanced AI by building world-class, open models and a scalable, transparent decentralized training platform anyone can contribute to or use.

Company size
51-200
Company stage
Series B
Total funding
$160M
Headquarters
Austin, TX
Founded
2023

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