Software Engineer, General

Nous Research

Remote · USFull-timePosted 1mo agoStill listed today

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At a glance

Compensation
No compensation found
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Nous Research is seeking a generalist software engineer to build Hermes Agent, Nous Portal, and supporting infrastructure. The role may span product experiences across web, desktop, and mobile; backend services and APIs; cloud infrastructure and model serving; and developer and research tooling. The team values depth in one engineering area alongside the range to work beyond it, with work shaped by the company’s changing priorities.

Skills & qualifications

RequiredNice to have

Skills

Production Software DevelopmentFrontend EngineeringBackend EngineeringInfrastructure EngineeringSystems EngineeringML ToolingTypeScriptPythonRustOwnershipAI-Assisted DevelopmentCommunicationLow EgoAI ProductsLLM ApplicationsAgentsTool-Calling WorkflowsOpen-Source ContributionsSide ProjectsPyTorchOpenAI-Compatible APIsModel RoutingInference

Qualifications

A Few Years Building Software

Full job description

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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