Senior AI/ML Engineer, Generative Mission Systems (Remote)

Rackner; Laurel (MD); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Company-supported certifications

401(k) with company match up to 6%

Medical, dental, vision, life, and(dis

Paid time off and holidays

Remote-work support and home-office

Fitness and wellness reimbursement

Professional-development

Job summary

Rackner is seeking an applied AI engineer to build and integrate AI-enabled capabilities for secure mission software. This role focuses on integrating LLMs, retrieval-augmented generation, agentic AI, and inference pipelines across AI, software, cybersecurity, DevSecOps, and customer teams.

The candidate will work remotely within the United States with occasional onsite collaboration in Laurel, MD for sprint planning; a DoD Secret clearance is required; anticipated start in November 2026.

Qualifications

• Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related field; with demonstrated AI/ML work.
• At least four years of AI/ML experience including LLMs, RAG, and prompt engineering.
• Hands-on experience integrating LLM-enabled software and RAG capabilities into applications.
• Developing or supporting agentic-AI capabilities and multi-step AI workflows.
• Designing, building, or supporting inference pipelines and documenting results.
• Ability to explain personal technical ownership and contributions.
• Strong collaboration and technical-communication skills.

Responsibilities

• 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 AI workflows.
• Build and maintain inference pipelines.
• Evaluate AI outputs for grounding, reliability, and mission usefulness.

Skills

LLM Integration

RAG Capabilities

Prompt Engineering

Inference Pipelines

DevSecOps

Team Collaboration

Education

Master's/PhD in AI/ML/CS

Tools

OpenShift

Kubernetes

CI/CD

Job description

Rackner is seeking an applied AI engineer to build and integrate AI-enabled capabilities for secure mission software. This role focuses on integrating LLMs, retrieval-augmented generation, agentic AI, and inference pipelines across AI, software, cybersecurity, DevSecOps, and customer teams.

The candidate will work remotely within the United States with occasional onsite collaboration in Laurel, MD for sprint planning; a DoD Secret clearance is required; anticipated start in November 2026.