AI/ML Engineer — Generative AI Mission Systems

The role

You will build and integrate generative AI capabilities into secure mission-planning and decision-support software. This involves working with large language models, retrieval-augmented generation, agentic AI, and inference pipelines.

What you will do

• Design, develop, test, and integrate AI-enabled software capabilities.
• Build and integrate LLM-enabled capabilities into secure application workflows.
• Develop or integrate retrieval-augmented generation capabilities.
• Develop and support agentic-AI components and multi-step workflows.
• Design and refine prompts, system instructions, and supporting AI workflows.
• Build and maintain inference pipelines.
• Connect AI capabilities with existing backend services and decision-support processes.
• Evaluate AI outputs for grounding, reliability, accuracy, relevance, and mission usefulness.
• Develop tests for AI-enabled functionality and support broader integration testing.
• Document AI designs, workflows, limitations, evaluation results, and implementation decisions.

Required qualifications

• Master’s degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
• Demonstrated experience working on or developing AI/ML capabilities.
• At least four years of relevant AI/ML experience that includes work with large language models, retrieval-augmented generation, and prompt engineering.
• Hands-on experience integrating LLM-enabled software and RAG capabilities into applications or workflows.
• Developing or supporting agentic-AI capabilities and multi-step AI workflows.
• Designing, building, or supporting inference pipelines.
• Ability to evaluate AI-enabled capabilities and clearly document findings, design decisions, and results.
• Testing and documenting AI-enabled software capabilities.
• Ability to clearly explain your personal technical ownership and contributions.
• Strong collaboration and technical-communication skills.
• Active final DoD Secret clearance required.

Nice to have

• Moving AI capabilities beyond coursework, personal projects, or demonstrations into operational software workflows.
• Evaluating grounding, reliability, output quality, hallucinations, or other limitations of AI-enabled systems.
• Integrating AI services with backend APIs or established software applications.
• Secure software-development lifecycle and DevSecOps practices.
• OpenShift, Kubernetes, CI/CD, or containerized application delivery.
• Secure, restricted, disconnected, on-premises, or classified development environments.
• Defense, government, aerospace, mission-planning, or other regulated environments.
• Collaboration with software-engineering, cybersecurity, platform, and customer-facing technical teams.

Benefits

• Competitive compensation
• Company-supported certifications aligned with current and future program work
• 401(k) with 100% company match up to 6%
• Medical, dental, vision, life, and disability coverage
• Paid time off and company holidays
• Remote-work support and home-office equipment plan
• Fitness and wellness reimbursement
• Weekly pay schedule
• Professional-development and future growth opportunities

Before you apply

• Active final DoD Secret clearance required
• Position is contingent upon contract award
• Anticipated start in November 2026

About the company

Rackner has delivered more than $30 million in recent federal awards and supports mission-critical work across defense, civilian, and public-sector environments.