Build and deploy agentic AI systems (multi-agent frameworks, RAG pipelines, tool-calling agents) for high-stakes U.S. Government missions
Embed directly with federal agency partners to surface mission requirements and convert them into working technical systems
Analyze public and walled government databases to identify fraudulent contractors and prevent future fraudulent spending
Travel locally across D.C. to government sites (Pentagon, federal agencies)
3-10 years of experience mix of software engineer and AI/ML research experience working in partner-facing environments.
Strong AI/ML engineering experience
Experience building and shipping agentic AI/LLM systems (RAG pipelines, multi-agent frameworks, tool-calling agents)
Experience working at a government-facing technology company
Degree in CS or other technical field
Strong Python engineering background with demonstrated end to end delivery experience