Remote Generative AI Engineer for Mission Systems

Bazeta; Laurel (MD); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

401(k) with 100% company match up to 6

Medical, dental, vision, life, and(dis

Disability coverage

Paid time off and company holidays

Remote-work support and home-office设备

Job summary

Rackner is seeking an AI/ML engineer to design, develop, and integrate AI-enabled capabilities for secure mission software. The role focuses on LLM integration, retrieval-augmented generation, and agentic-AI components within a primarily remote US-based workplace with periodic onsite collaboration in Laurel, Maryland.

You will work across AI, software engineering, cybersecurity, and DevSecOps teams to move capabilities from demonstrations to practical, mission-critical workflows, ensuring

Qualifications

• Master’s degree or Ph.D. in AI/ML, CS, or related field.
• 4+ years of AI/ML experience with LLMs, RAG, and prompts.
• Experience integrating LLM-enabled software into applications.
• Ability to document design decisions and results.
• Strong collaboration and 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.
• Design prompts, system instructions, and supporting AI workflows.
• Build and maintain inference pipelines and evaluate AI outputs.
• Collaborate with software engineers, security professionals, and DevSecOps teams.

Skills

AI/ML fundamentals

LLM integration

RAG capabilities

Prompt engineering

Software integration

Security-conscious design

Education

Master’s degree or Ph.D. in AI/ML/CS

Tools

OpenShift

Kubernetes

CI/CD

Job description

Rackner is seeking an AI/ML engineer to design, develop, and integrate AI-enabled capabilities for secure mission software. The role focuses on LLM integration, retrieval-augmented generation, and agentic-AI components within a primarily remote US-based workplace with periodic onsite collaboration in Laurel, Maryland.

You will work across AI, software engineering, cybersecurity, and DevSecOps teams to move capabilities from demonstrations to practical, mission-critical workflows, ensuring