Software Engineer Product

Nous Research is an applied AI research group that develops and releases open-source AI models, datasets, and tools to democratize artificial intelligence.

Series A0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/2/2026

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About Nous Research

Nous Research is a leader in the development of human-centric language models and simulators, with a primary focus on model architecture, data synthesis, fine-tuning, and reasoning to align AI with real-world user experiences. As an applied research group, they aim to democratize AI development by releasing open-source resources like datasets (e.g., Hermes 3 Dataset), AI models (e.g., Hermes 3, DeepHermes), and frameworks. A key project is the Psyche Network, an open infrastructure for AI development, and they also engage in on-chain evaluations, indicating an intersection with blockchain technology. Additionally, Nous Research provides an OpenAI-compatible API for its models, operating on a pay-per-use basis with pricing determined by token consumption.

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Skills

About the Role

You will build and own customer-facing experiences across desktop, web, and mobile. You will develop frontend applications, backend APIs, and supporting services; turn product ideas into production features; maintain automated testing; and integrate new model capabilities into products.

Requirements

  • 7+ years of full-stack software engineering experience
  • Customer-facing product development
  • TypeScript
  • Node.js
  • React
  • Python
  • Rust
  • Desktop development
  • Web development
  • Mobile development
  • UX
  • Interaction design
  • AI-assisted development

Responsibilities

  • Build customer-facing experiences across desktop, web, and mobile
  • Develop frontend applications, backend APIs, and supporting services
  • Create polished and reliable user experiences
  • Build cross-platform product experiences
  • Translate product ideas into production features and iterate using customer feedback
  • Solve technical challenges across the stack
  • Design and maintain automated testing
  • Integrate new model capabilities into products