Key Responsibilities
- Deploy Hermes Agent Enterprise across cloud, on-premises, and hybrid customer environments.
- Integrate enterprise APIs, internal data sources, authentication systems, and business applications into agent workflows.
- Partner directly with customers to scope requirements, implement solutions, and iterate based on feedback.
- Debug and resolve production issues across infrastructure, orchestration, integrations, and AI application layers.
- Build reusable deployment patterns, tooling, and best practices that improve implementation speed and reliability.
- Collaborate with engineering and research teams to influence product direction based on customer needs.
- Improve deployment observability, monitoring, and operational tooling to support production AI systems.
- Document deployment architectures, integration guides, and customer implementation patterns.
Qualifications & Requirements
- 5+ years of software engineering or solutions engineering experience building and deploying production systems.
- Experience working directly with enterprise customers or cross-functional stakeholders to deliver technical solutions.
- Strong debugging skills across distributed systems, backend services, and cloud infrastructure.
- Comfortable working across backend engineering, infrastructure, APIs, and AI application layers.
- Excellent communication skills with the ability to translate complex technical concepts into practical customer solutions.
- Entrepreneurial mindset with the ability to thrive in fast-moving, ambiguous environments.
Preferred
- Experience with Docker, Kubernetes, and modern cloud infrastructure.
- Familiarity with LLMs, AI agents, RAG systems, or model orchestration frameworks.
- Experience integrating enterprise systems such as CRMs, data warehouses, internal APIs, or identity providers.
- History of shipping customer-facing technical solutions in enterprise or infrastructure-focused environments.
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.