Remote AI/ML Engineer — Generative Mission Systems

Devconnectplatform; Laurel (MD); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k) with company match

Remote-work support

Professional development

Job summary

Rackner is seeking an AI/ML engineer to advance generative AI for secure mission systems. You will design, build, and integrate LLM-enabled capabilities, RAG, and agentic-AI into operational workflows used in national-security applications.

The role requires collaboration with software, cybersecurity, and customer teams, and involves on-site collaboration in Laurel, Maryland, with a remote-friendly setup. A strong background in AI/ML and secure software practices is essential.

Qualifications

• A master’s degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field with demonstrated experience.
• At least four years of AI/ML experience including work with LLMs, RAG, and prompt engineering.
• Hands-on experience integrating LLM-enabled software and RAG capabilities into applications/workflows.
• Experience designing and supporting inference pipelines and evaluating AI capabilities.

Responsibilities

• Design, develop, test, and integrate AI-enabled software capabilities.
• Build and integrate LLM-enabled capabilities into secure workflows.
• Develop retrieval-augmented generation capabilities and agentic-AI components.
• Create prompts, system instructions, and supporting AI workflows; maintain inference pipelines.
• Collaborate with software engineers, cybersecurity, DevSecOps, and customer teams; perform reviews and security remediation.

Skills

Large language models

Retrieval augmented generation

Prompt engineering

Inference pipelines

OpenShift

Education

Master's degree or PhD in AI/ML/CS

Tools

Kubernetes

OpenShift

CI/CD

Containerized applications

Job description

Rackner is seeking an AI/ML engineer to advance generative AI for secure mission systems. You will design, build, and integrate LLM-enabled capabilities, RAG, and agentic-AI into operational workflows used in national-security applications.

The role requires collaboration with software, cybersecurity, and customer teams, and involves on-site collaboration in Laurel, Maryland, with a remote-friendly setup. A strong background in AI/ML and secure software practices is essential.