Software Engineer

Summary

Nous Research is seeking a Software Engineer to build and maintain products and infrastructure powering its research work. The role covers product surfaces for Hermes Agent and Nous Portal, backend services and APIs, cloud infrastructure, model serving, and developer and research tooling, with a focus on high-leverage problems.

Responsibilities

• 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

Skills

• 3+ 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
• 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

Qualifications

Must Haves

• 3+ 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

Nice to Haves

• 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