Forward Deployed Engineer
Nous Research is an applied AI research group that develops and releases open-source AI models, datasets, and tools to democratize artificial intelligence.
Maintainer signals as of 9/2/2026
Funding history
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.
Skills
About the Role
You will deploy and adapt Hermes Agent Enterprise in cloud, on-premises, and hybrid environments. You will integrate customer systems and data sources, scope and implement solutions with customers, troubleshoot production issues, improve deployment tooling and observability, and document architectures and implementation patterns.
Requirements
- 5+ years of software engineering or solutions engineering experience building and deploying production systems
- Experience delivering technical solutions with enterprise customers or cross-functional stakeholders
- Debugging skills across distributed systems, backend services, and cloud infrastructure
- Experience across backend engineering, infrastructure, APIs, and AI application layers
- Communication skills for translating technical concepts into customer solutions
- Experience with Docker, Kubernetes, and modern cloud infrastructure
- Familiarity with LLMs, AI agents, RAG systems, or model orchestration frameworks
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 with customers to scope requirements, implement solutions, and iterate on feedback
- Debug and resolve production issues across infrastructure, orchestration, integrations, and AI application layers
- Build reusable deployment patterns, tooling, and best practices
- Improve deployment observability, monitoring, and operational tooling
- Document deployment architectures, integration guides, and implementation patterns