Job Description
AI/ML Engineer — Generative AI Mission Systems
Remote, U.S.-Based | Periodic onsite collaboration in Laurel, Maryland, approximately every six weeks
Build Applied AI for Secure Mission Software
Help turn generative-AI concepts into dependable capabilities used within secure planning and decision-support software.
At Rackner, you will integrate large language models, retrieval-augmented generation, agentic AI, and inference workflows into an established software application supporting a high-impact national-security mission. You will work across AI, software engineering, cybersecurity, DevSecOps, and customer technical teams to move capabilities beyond standalone demonstrations and into practical product workflows.
This role offers the opportunity to deepen your applied-AI experience, influence how emerging capabilities are designed and evaluated, and contribute to software where reliability, security, and mission usefulness matter.
The position is mainly remote, with team-wide onsite sprint planning in Laurel, Maryland, approximately every six weeks. This position is contingent upon contract award and final customer approval, with an anticipated start in November 2026.
What You’ll Do
- 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.
What You Bring
- 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.
Why Rackner
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.
Benefits & Professional Growth
- 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
Apply
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.
