Designing, developing, and deploying advanced Retrieval Augmented Generation (RAG) solutions in a high-performance computing (HPC) Linux environment for a mission-focused team
Requirements
- Proficiency with Linux system administration, CLI, and shell scripting
- Experience with containerization technologies (Docker, PodMan, containerd)
- Background deploying services under Kubernetes or Docker Compose orchestration
- Recent hands-on software development experience with Python and/or Golang
- Familiarity with RAG pipelines, LLMs, and embedding models
- Experience implementing CI/CD pipelines and tools such as GitLab CI
- Experience with monitoring and metrics tools (Prometheus, Grafana)
Responsibilities
- Design, implement, and optimize scalable software solutions in HPC Linux environments.
- Develop and deploy containerized services using Docker, PodMan, Kubernetes, and Docker Compose.
- Implement CI/CD pipelines, version control, and monitoring solutions to ensure software reliability.
- Integrate and optimize RAG pipelines, LLMs, and embedding models for mission use cases.
- Collaborate with cross-functional teams to ensure robust and secure data flows.
- Automate and improve processes across the development and deployment lifecycle.
- Implement and optimize AI systems — including LLMs, orchestration frameworks, knowledge retrieval, and security-aware machine learning models.
Other
- Bachelor’s degree in Computer Science or related field + 7 years of relevant experience
- TS/SCI with Poly clearance
- 100% Employer-Paid Health, Dental, and Vision Insurance
- 10% 401(k) Contribution with Zero Vesting
- 31 Days PTO + Federal Holidays
