Rackner - AI/ML Engineer — Generative AI Mission Systems

Remote - USA *3mo ago

Remote NA Cybersecurity Artificial Intelligence ML Engineer AI Engineer Documentation Kubernetes

Requirements

• A master’s degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field, along with demonstrated experience working on or developing AI/ML capabilities. • At least four years of relevant AI/ML experience that includes work with large language models, retrieval-augmented generation, and prompt engineering. • Hands-on experience integrating LLM-enabled software and RAG capabilities into applications or workflows. • Developing or supporting agentic-AI capabilities and multi-step AI workflows. • Designing, building, or supporting inference pipelines. • Ability to evaluate AI-enabled capabilities and clearly document findings, design decisions, and results. • Testing and documenting AI-enabled software capabilities. • Ability to clearly explain your personal technical ownership and contributions. • Strong collaboration and technical-communication skills. • Preferred Background • Experience with several of the following can strengthen your fit: • Moving AI capabilities beyond coursework, personal projects, or demonstrations into operational software workflows. • Evaluating grounding, reliability, output quality, hallucinations, or other limitations of AI-enabled systems. • Integrating AI services with backend APIs or established software applications. • Secure software-development lifecycle and DevSecOps practices. • OpenShift, Kubernetes, CI/CD, or containerized application delivery. • Secure, restricted, disconnected, on-premises, or classified development environments. • Defense, government, aerospace, mission-planning, or other regulated environments. • Collaboration with software-engineering, cybersecurity, platform, and customer-facing technical teams.

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.