Forward Deployed AI Engineer

We are seeking a Forward Deployed AI Engineer with approximately 4-6 years of experience to architect and deploy agentic AI systems supporting U.S. Government partners tackling fraud, waste, and abuse - a trillion-dollar challenge. You will work directly with federal agency stakeholders to understand complex mission requirements and translate them into production-ready technical systems. This role combines hands-on software engineering, applied AI development, data analysis, and partner-facing problem solving.

You will:

• Build and deploy agentic AI systems, including RAG pipelines, multi-agent frameworks, and tool-calling agents
• Embed directly with federal agency partners to understand mission needs and convert them into working technical solutions
• Analyze public, proprietary, and restricted government datasets to identify potentially fraudulent contractors and spending activity
• Build data pipelines and analytical workflows that help prevent future improper or fraudulent spending
• Own projects from initial requirements gathering through architecture, development, deployment, and iteration
• Integrate large language models with databases, APIs, analytical tools, and government systems
• Present technical concepts and system capabilities to both technical and nontechnical stakeholders
• Travel locally to government facilities throughout Washington, D.C., including the Pentagon and federal agency offices

This is a full-time position based in McLean, Virginia, requiring five days per week on-site. Local travel throughout the Washington, D.C. area is required, but the role does not involve regular cross-state or overnight travel.

• Approximately 4-6 years of relevant experience across software engineering, applied AI, machine learning, or AI research
• Strong Python engineering skills with demonstrated end-to-end delivery experience
• Experience building and deploying agentic AI or large language model systems into production
• Hands-on experience with RAG pipelines, multi-agent frameworks, tool-calling agents, or related LLM orchestration technologies
• Experience building data pipelines and working with large, complex, or fragmented datasets
• A combination of software engineering and AI/ML experience rather than a purely traditional software engineering background
• Experience working directly with customers, government stakeholders, operators, or other external partners
• Experience at a government-facing, defense technology, or national security technology company is strongly preferred
• Startup experience or another clear record of independently owning and delivering technical projects is preferred
• Experience with distributed systems, machine learning infrastructure, or reinforcement learning is a plus
• Bachelor's degree in computer science, machine learning, engineering, or a related technical field is preferred, although demonstrated technical depth is more important than a specific degree
• Must be willing to work on-site five days per week in McLean, Virginia
• Must be willing to travel locally to federal agency and government sites throughout Washington, D.C.