AI Solutions Engineer: Secure LLM Deployment

HII's Mission Technologies division; Suffolk (VA); Hybrid; USD 105,000 - 115,000; Full time

Job summary

Mission Technologies, a division of HII, seeks an engineer to deploy and operate Large Language Models in highly secure, air-gapped environments at the Suffolk, VA Joint Staff complex. The role emphasizes Linux, Docker, YAML configurations, and Python scripting, with a focus on secure, compliant AI deployments within a hybrid work model.

The successful candidate will maintain vLLM/Open WebUI configurations, optimize performance, and collaborate with cross-functional teams while adhering to

Qualifications

• 2 years experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience.
• Hands on Linux experience (installation, configuration, command line)
• Working knowledge of Docker and containerization
• Basic Python scripting skills
• Understanding of YAML configuration
• Familiarity with AI/ML concepts (LLMs, inference, deployment)
• Strong troubleshooting and problem solving abilities
• Ability to work independently in isolated or air gapped networks
• Strong communication and organizational skills
• Self motivated, quick learner
• Active Secret security clearance with the ability to obtain a Top Secret/SCI

Responsibilities

• Install and configure LLM solutions in air gapped environments
• Optimize vLLM performance for efficient model inference
• Maintain and manage compose.yaml files for vLLM and Open WebUI
• Write basic Python scripts to support automation and integration
• Deploy and troubleshoot Docker based applications
• Configure and administer Linux systems
• Document deployment processes and troubleshooting steps
• Monitor system performance and resource utilization
• Work with cross functional teams to integrate AI capabilities
• Support testing and validation of AI deployments
• Follow security and compliance requirements for secure environments
• Assist with version control and configuration management

Skills

Linux

Python scripting

YAML configuration

AI/ML concepts

Troubleshooting

Communication

Independent work

Organization

Self-motivation

Security clearance

Education

Bachelor's degree in related field

High School Diploma or equivalent with 6 years experience

Tools

Docker

Job description

Mission Technologies, a division of HII, seeks an engineer to deploy and operate Large Language Models in highly secure, air-gapped environments at the Suffolk, VA Joint Staff complex. The role emphasizes Linux, Docker, YAML configurations, and Python scripting, with a focus on secure, compliant AI deployments within a hybrid work model.

The successful candidate will maintain vLLM/Open WebUI configurations, optimize performance, and collaborate with cross-functional teams while adhering to