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Salary
≈ $125k – $320k per year (Estimated)
Location
Remote (AMER)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 27, 2026.

Overview
Company
Impact
Profile match
Headquartered in New York, Nous Research is an open-source artificial intelligence research lab and software development company. The organization specializes in developing open-weight large language models, AI agent frameworks, and decentralized training infrastructure, best known for its flagship Hermes model series, the Hermes Agent platform, and the DisTrO distributed training network.

If you're a great engineer with a wide-ranging skill set, we want you to apply and join the team. You'll help us build Hermes Agent, Nous Portal, and other infrastructure that powers Nous Research. A lot of our team is made up of generalist engineers, and people like this tend to fit really well here.

What you might work on:

  • Product surfaces people touch every day across Hermes Agent and Nous Portal, on web, desktop, and mobile.

  • Backend services and APIs that hold up under real usage.

  • The cloud platform and infrastructure behind our products and model serving.

  • Developer and research tooling that makes the rest of the team faster.

  • Whatever the highest-leverage problem is that quarter, which is not always predictable at a company moving this fast.

What we look for:

  • A few years building and shipping production software that real people depend on.

  • Depth in at least one area (frontend, backend, infrastructure, systems, or ML tooling) and the range to work outside it.

  • Fluency in the languages we use day to day, mainly TypeScript and Python, and comfort reaching for a systems language like Rust when it's the right call.

  • Strong ownership: you see something broken or missing and you fix it without waiting to be asked.

  • Heavy use of AI-assisted development in your own workflow.

  • Clear communication and low ego, because the team is small and everyone reads each other's code.

Preferred:

  • Experience with AI products, LLM applications, agents, or tool-calling workflows.

  • Open-source contributions, or side projects you're proud enough to show us.

  • Familiarity with modern AI infrastructure: PyTorch, OpenAI-compatible APIs, model routing, or inference.

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