AI/ML Engineer — Generative AI Mission Systems

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.
• 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.