Role description
Nous ResearchThe Role
Join the Product team building the customer-facing surfaces of Nous Portal, Hermes Agent, and the products around them across mobile, desktop, and web. This role centers on the everyday Hermes Agent experience people interact with, wherever they use it.
Responsibilities
Build and own customer-facing product experiences across Hermes Agent and Nous Portal on desktop, web, and mobile.
Develop full-stack features spanning frontend applications, backend APIs, and supporting services.
Partner closely with Product and Design to create polished, intuitive user experiences with exceptional performance and reliability.
Build cross-platform experiences that feel native to each environment while maintaining a consistent product experience.
Translate product ideas into production features quickly, then iterate based on customer feedback and usage data.
Contribute product ideas and engineering perspectives throughout the product development process.
Solve complex technical challenges across the stack while maintaining high standards for code quality and maintainability.
Design, implement, and maintain automated testing that ensures reliability across releases.
Collaborate with Research and AI teams to bring new model capabilities into customer-facing products.
Qualifications
7+ years of full-stack software engineering experience building and shipping production software.
Proven track record developing customer-facing products used by real users.
Strong experience building modern web applications with TypeScript, Node.js, React, or similar frontend technologies.
Proficiency in Python and comfort working with systems programming languages such as Rust.
Experience building software across multiple platforms, including desktop, web, or mobile.
Strong product intuition and attention to UX, interaction design, and visual polish.
Excellent collaboration skills with designers, product managers, and fellow engineers.
Curiosity, strong ownership, and the ability to thrive in a fast-moving engineering environment.
Extensive use of AI-assisted development tools to increase engineering productivity and quality.
Nice-to-Have
Experience building cross-platform products from a shared codebase or design system.
Experience with AI products, LLM applications, AI agents, or tool-calling workflows.
Familiarity with PyTorch, OpenAI-compatible APIs, model routing, or modern AI infrastructure.
Contributions to open-source software or AI developer tools.
Strong portfolio of personal projects demonstrating technical curiosity and product craftsmanship.