Rackner - AI/ML Engineer — Generative AI Mission Systems

Remote - USA *1w ago

Remote NA Cybersecurity Artificial Intelligence ML Engineer AI Engineer Documentation Kubernetes

Requirements

• Four or more years working across AI/ML, large language models, retrieval-augmented generation, and prompt engineering. • A master’s degree or Ph.D. in AI/ML or a related field. • Hands-on delivery of LLM-enabled software and RAG capabilities. • Practical knowledge of agentic AI, multi-step workflows, or similar orchestration approaches. • Familiarity with building or supporting inference pipelines. • The ability to explain your technical contributions, design decisions, and results. • Strong collaboration and technical-documentation skills. • Preferred Background • A track record of moving AI capabilities beyond coursework, personal projects, or demonstrations into operational software. • Practical knowledge of evaluating AI outputs and addressing weak grounding, hallucinations, or unreliable responses. • Familiarity with secure software-development and DevSecOps practices. • Exposure to classified, restricted, disconnected, or controlled development environments. • Collaboration with backend, cybersecurity, and platform-engineering teams. • Work supporting defense, government, aerospace, or other regulated environments. • Familiarity with containerized OpenShift or Kubernetes environments.

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 that support 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 technical and user feedback. • Document AI designs, workflows, limitations, and implementation decisions. • Participate in code reviews, technical reviews, and security-remediation activities. • Collaborate with software engineers, security professionals, DevSecOps teams, and customer stakeholders.

Benefits

• At Rackner, you will have the opportunity to build technology that supports critical defense and public-sector missions. • You will work on more than isolated AI experiments or prompt-engineering tasks. This role combines hands-on LLM integration, retrieval and agentic-AI development, secure software delivery, and close collaboration across AI, software, cybersecurity, DevSecOps, and mission-focused teams. • Rackner has delivered more than $30 million in recent federal awards and supports mission-critical work across defense, civilian, and public-sector environments. We are looking for an applied AI engineer who can build on that momentum by turning emerging generative-AI capabilities into secure, dependable software with meaningful mission impact. • 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 • If you are an AI/ML engineer who wants to move beyond standalone prototypes and help integrate LLM, RAG, and agentic-AI capabilities into secure mission software, we would like to hear from you.