AI/ML Engineer — Generative AI Mission Systems
Rackner · USA
About this role
## AI/ML Engineer — Generative AI Mission Systems **Location:** Mainly remote within the United States; onsite collaboration in Laurel, Maryland (typically ~1 day every six weeks for team sprint planning). **Clearance:** Active final DoD Secret clearance required. **Start:** Contingent upon contract award (pending contract opportunity), anticipated start **November 2026**. --- ### Overview Support the development of **applied AI for secure mission software**. You’ll integrate **LLMs**, **retrieval-augmented generation (RAG)**, **agentic AI**, **prompt-engineering workflows**, and **inference pipelines** into an established software application supporting a high-impact national-security mission. You’ll work across **AI, software engineering, cybersecurity, DevSecOps, and customer technical teams** to move capabilities beyond demos into practical application workflows. Classified work will be completed onsite at the customer location. --- ### What You’ll Do - Design, develop, test, and integrate **AI-enabled software capabilities** - Build and integrate **LLM-enabled** capabilities into secure application workflows - Develop or integrate **RAG** capabilities - Develop and support **agentic AI** components and **multi-step workflows** - Design and refine **prompts**, **system instructions**, and supporting AI workflows - Build and maintain **inference pipelines** - Connect AI capabilities with existing backend services and decision-support processes - Evaluate AI outputs for **grounding, reliability, accuracy, relevance, and mission usefulness** - Develop tests for AI-enabled functionality and support broader integration testing - Demonstrate working prototypes and incorporate technical/user feedback - Document AI designs, workflows, limitations, evaluation results, and implementation decisions - Participate in code reviews, technical reviews, and security remediation activities - Collaborate with engineers, security professionals, DevSecOps teams, and customer stakeholders --- ### What You Bring - **Master’s degree or Ph.D.** in AI/ML/CS or related field, **plus** demonstrated AI/ML experience - **At least 4 years** relevant AI/ML experience, including: - Large language models - Retrieval-augmented generation - Prompt engineering - Hands-on experience integrating **LLM + RAG** into applications/workflows - Experience developing/supporting **agentic AI** and multi-step AI workflows - Experience designing/building/supporting **inference pipelines** - Ability to evaluate AI-enabled capabilities and clearly document findings and design decisions - Testing and documentation experience for AI-enabled software - Strong collaboration and technical communication skills --- ### Preferred Background (Nice to Have) - Moving AI capabilities from coursework/projects/demos into **operational software workflows** - Evaluating grounding, reliability, output quality, hallucinations, and other limitations - Integrating AI services with backend APIs or established applications - Secure software development lifecycle and **DevSecOps** practices - Experience with **OpenShift, Kubernetes, CI/CD**, or containerized delivery - Experience with secure/restricted/disconnected/on-prem/classified environments - Experience in defense/government/aerospace/mission-planning or other regulated environments --- ### Why Rackner Build technology that supports critical defense and public-sector missions—beyond isolated experiments. This role combines **LL
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