AI/ML Engineer — Generative AI Mission Systems

RemoteLeads; Deutschland; Vor Ort; EUR 123.055 - 175.794; Vollzeit

Benefits dieser Stelle

Competitive compensation

Company-supported certifications

401(k) with company match

Zusammenfassung

Rackner is seeking an AI/ML Engineer to advance generative AI for secure mission software. The role is primarily remote, with periodic onsite collaboration in Laurel, Maryland, about every six weeks, and an anticipated start in November 2026.

You will work across AI, software, cybersecurity, DevSecOps, and customer teams to turn concepts into dependable capabilities for mission-critical workflows. Ideal candidates bring 4+ years in AI/ML with LLM/RAG experience, a strong record of delivering

Qualifikationen

• Four or more years across AI/ML, LLMs, RAG, and prompt engineering.
• Master's degree or Ph.D. in AI/ML or related field.
• Hands-on delivery of LLM-enabled software and RAG capabilities.
• Practical knowledge of agentic AI and orchestration of multi-step workflows.
• Familiarity with building or supporting inference pipelines.
• Ability to explain technical contributions, design decisions, and results.
• Strong collaboration and technical-documentation skills.

Aufgaben

• 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.

Kenntnisse

AI/ML experience

LLM integration

RAG capabilities

Prompt engineering

Technical documentation

Ausbildung

Master's degree or Ph.D. in AI/ML or related field

Tools

OpenShift

Kubernetes

Jobbeschreibung

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