Yesterday
Intel Agency (NSA, CIA, FBI, etc)
Mid Level Career (5+ yrs experience)
Full Scope Polygraph
IT - Software
Annapolis Junction, MD (On/Off-Site)
Job Title: Software Engineer (SWE3) – Annapolis Junction, MD | TS/SCI + FS Poly | AI/ML Focus
Location: Annapolis Junction, MD (100% Onsite)
Clearance Required: Active TS/SCI with Full Scope Polygraph
Employer: Praxis Engineering (Prime Contractor)
Compensation: Up to $112/hr (W2)
Job Type: Full-time | Contract
Before applying Must have Active TS/SCI with Full Scope Polygraph Cleared by NSA
Overview:
Praxis Engineering is seeking a cleared Software Engineer (SWE3) to lead the development and deployment of a Retrieval Augmented Generation (RAG) AI solution in a high-performance computing (HPC) Linux environment. This role focuses on large language models (LLMs), orchestration frameworks, containerized deployments, and GPU-accelerated systems.
The ideal candidate is an experienced developer with a deep understanding of secure AI/ML pipelines and modern DevSecOps practices.
Key Responsibilities:
Design, develop, and deploy RAG-based AI applications
Implement containerized services using Docker, Podman, or containerd
Deploy and maintain services under Kubernetes or Docker Compose
Work with LLMs, embedding models, and knowledge retrieval frameworks
Develop in Python and Golang
Manage CI/CD pipelines using GitLab CI
Monitor infrastructure performance using Prometheus and Grafana
Use Git for version control and collaboration
Collaborate across engineering and security teams to ensure reliability and compliance
Required Skills:
7+ years of experience and a BS degree in CS, Engineering, or related field
Linux system administration and CLI experience
Python and Golang development experience
Familiarity with LLMs, RAG pipelines, and model orchestration frameworks
Experience with containerization and deployment in Kubernetes environments
Understanding of CI/CD tools and practices, especially GitLab CI
Monitoring and telemetry tools: Prometheus, Grafana
Version control with Git
Preferred Qualifications:
Experience debugging GPU-enabled applications
Familiarity with OpenAPI, HTMX, or Hyperscript
Experience with Spark, Dask, or Ray for distributed data workflows
Knowledge of AI inference tools (e.g., Nvidia NIM, Triton, vLLM)
Understanding of multi-GPU model training and hardware integration
Experience with SQL, Elasticsearch, or vector databases
Use of Atlassian tools like Confluence and Jira
Why Apply:
Prime contract with long-term mission support
Hands-on work with cutting-edge AI/ML and LLM technologies
Collaborate with a highly skilled, security-cleared engineering team
Competitive rate up to $112/hr
Apply Today
If you’re passionate about AI/ML and want to lead impactful projects in a secure, mission-driven environment, this is the role for you.
Job Type: Full-time
Pay: $112.00 per hour
Benefits:
401(k)
Dental insurance
Health insurance
Compensation Package:
Bonus opportunities
Signing bonus
Schedule:
Monday to Friday
Work Location: In person
Location: Annapolis Junction, MD (100% Onsite)
Clearance Required: Active TS/SCI with Full Scope Polygraph
Employer: Praxis Engineering (Prime Contractor)
Compensation: Up to $112/hr (W2)
Job Type: Full-time | Contract
Before applying Must have Active TS/SCI with Full Scope Polygraph Cleared by NSA
Overview:
Praxis Engineering is seeking a cleared Software Engineer (SWE3) to lead the development and deployment of a Retrieval Augmented Generation (RAG) AI solution in a high-performance computing (HPC) Linux environment. This role focuses on large language models (LLMs), orchestration frameworks, containerized deployments, and GPU-accelerated systems.
The ideal candidate is an experienced developer with a deep understanding of secure AI/ML pipelines and modern DevSecOps practices.
Key Responsibilities:
Design, develop, and deploy RAG-based AI applications
Implement containerized services using Docker, Podman, or containerd
Deploy and maintain services under Kubernetes or Docker Compose
Work with LLMs, embedding models, and knowledge retrieval frameworks
Develop in Python and Golang
Manage CI/CD pipelines using GitLab CI
Monitor infrastructure performance using Prometheus and Grafana
Use Git for version control and collaboration
Collaborate across engineering and security teams to ensure reliability and compliance
Required Skills:
7+ years of experience and a BS degree in CS, Engineering, or related field
Linux system administration and CLI experience
Python and Golang development experience
Familiarity with LLMs, RAG pipelines, and model orchestration frameworks
Experience with containerization and deployment in Kubernetes environments
Understanding of CI/CD tools and practices, especially GitLab CI
Monitoring and telemetry tools: Prometheus, Grafana
Version control with Git
Preferred Qualifications:
Experience debugging GPU-enabled applications
Familiarity with OpenAPI, HTMX, or Hyperscript
Experience with Spark, Dask, or Ray for distributed data workflows
Knowledge of AI inference tools (e.g., Nvidia NIM, Triton, vLLM)
Understanding of multi-GPU model training and hardware integration
Experience with SQL, Elasticsearch, or vector databases
Use of Atlassian tools like Confluence and Jira
Why Apply:
Prime contract with long-term mission support
Hands-on work with cutting-edge AI/ML and LLM technologies
Collaborate with a highly skilled, security-cleared engineering team
Competitive rate up to $112/hr
Apply Today
If you’re passionate about AI/ML and want to lead impactful projects in a secure, mission-driven environment, this is the role for you.
Job Type: Full-time
Pay: $112.00 per hour
Benefits:
401(k)
Dental insurance
Health insurance
Compensation Package:
Bonus opportunities
Signing bonus
Schedule:
Monday to Friday
Work Location: In person
group id: 91163737
