Key Responsibilities
- Design, build, and operate the infrastructure and platform behind Hermes Agent, Nous Portal, and our managed AI services.
- Own systems end-to-end across backend services, platform infrastructure, deployment pipelines, and the tooling that supports them.
- Architect scalable, reliable infrastructure that supports inference, agent execution, model serving, and enterprise deployments.
- Build and improve CI/CD pipelines, deployment workflows, and infrastructure-as-code to accelerate engineering velocity.
- Implement observability, monitoring, alerting, incident response, and reliability improvements across production systems.
- Optimize infrastructure performance, scalability, and cost as product usage grows.
- Evaluate and integrate third-party infrastructure and managed services where appropriate, balancing speed, reliability, and long-term maintainability.
- Collaborate closely with Research, Product, and Engineering teams to support new AI capabilities and production launches.
Qualifications & Requirements
- 3+ years of software engineering experience with significant ownership of infrastructure or platform systems.
- Strong programming skills in one or more of TypeScript/Node.js, Python, Go, or Rust.
- Hands-on experience with modern cloud platforms such as AWS, Azure, or GCP.
- Experience with containerization, orchestration, and deployment technologies including Docker and Kubernetes.
- Familiarity with CI/CD systems, infrastructure-as-code, observability, monitoring, and production incident response.
- Strong software engineering fundamentals with the ability to build across backend, infrastructure, and platform systems.
- Excellent problem-solving skills and the ability to operate effectively in a fast-moving environment.
- Curiosity about AI infrastructure and enthusiasm for building reliable systems that support cutting-edge AI applications.
Preferred
- Experience operating high-throughput, latency-sensitive distributed systems.
- Familiarity with LLM infrastructure, inference systems, or OpenAI-compatible APIs.
- Experience with serverless platforms, managed cloud infrastructure, or multi-cloud deployments.
- Experience building or operating AI infrastructure, model serving platforms, or agent systems.
- Contributions to open-source software or the AI ecosystem.
- Experience optimizing production systems for reliability, scalability, and cost efficiency.
About Nous Research
Nous Research, founded in 2023 by a distributed collective of AI researchers and open-source contributors, builds decentralized AI models and training infrastructure for open, aligned intelligence. Its work includes open-weight Hermes models, Psyche decentralized training that coordinates global GPU contributions, and inference tooling that lets developers run models without centralized APIs. Headquartered with a fully distributed team across North America and Europe, Nous emphasizes open research, model evaluation and community-driven alignment over proprietary development. The project collaborates with open-source communities and crypto incentive designers to fund compute and data contributions transparently. Its collective publishes evaluations, datasets and training playbooks that let open-source contributors reproduce, fine-tune and deploy models with transparent provenance. Expect a research and community-driven culture that values model openness, rigorous evaluation and empowering builders to deploy capable AI without reliance on closed providers.