Remote AI/ML Engineer for Secure Mission AI & RAG

Rackner; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Certifications program

401(k) matching

Health coverage

Paid time off

Remote-work support

Wellness reimbursement

Weekly pay

Growth opportunities

Job summary

Rackner is hiring an experienced AI/ML engineer to move generative-AI concepts into dependable capabilities used within secure planning and decision-support software. The role focuses on integrating LLM, RAG and agentic-AI into a matured application with cross-team collaboration across AI, software, cybersecurity, and DevSecOps.

You will work remotely with periodic onsite collaboration in Laurel, Maryland, approximately every six weeks, and start as early as November 2026 if awarded the

Qualifications

• Four or more years working across AI/ML, large language models, retrieval-augmented generation, and prompt engineering.
• Master’s degree or Ph.D. in AI/ML or related field.
• Hands-on delivery of LLM-enabled software and RAG capabilities.
• Knowledge of agentic AI, multi-step workflows, or orchestration approaches.
• Familiarity with building or supporting inference pipelines.

Responsibilities

• Build and integrate LLM-enabled capabilities into secure application workflows.
• Develop or integrate retrieval-augmented generation and agentic-AI components.
• Design prompts, system instructions, and inference workflows for real user and mission needs.
• Connect AI capabilities with existing backend services and decision-support processes.
• Evaluate outputs for grounding, reliability, accuracy, and usefulness.
• Develop tests for AI-enabled functionality and support broader integration testing.
• Demonstrate working prototypes and incorporate feedback.
• Document AI designs, workflows, limitations, and implementation decisions.
• Participate in code reviews, security-remediation activities.

Skills

AI/ML experience

LLM integration

RAG development

Prompt engineering

Security-conscious design

Education

Master's degree in AI/ML

Tools

OpenShift

Kubernetes

Job description

Rackner is hiring an experienced AI/ML engineer to move generative-AI concepts into dependable capabilities used within secure planning and decision-support software. The role focuses on integrating LLM, RAG and agentic-AI into a matured application with cross-team collaboration across AI, software, cybersecurity, and DevSecOps.

You will work remotely with periodic onsite collaboration in Laurel, Maryland, approximately every six weeks, and start as early as November 2026 if awarded the