Join a forward-deployed team building agentic AI systems for U.S. Government partners in McLean, VA (on-site 5 days per week). You will work closely with federal agency stakeholders to translate mission requirements into production-ready technical systems that support efforts to reduce fraud, waste, and abuse. This role includes local travel across Washington, D.C. sites, including the Pentagon and federal agency offices.
Compensation: $150,000 – $200,000 per year plus competitive equity. A SECRET clearance is required.
What you will do
- 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
- Create data pipelines and analytical workflows that help prevent future improper or fraudulent spending
- Own projects end-to-end, from requirements gathering through architecture, development, deployment, and iteration
- Integrate large language models with databases, APIs, analytical tools, and government systems
- Communicate system capabilities by presenting technical concepts to both technical and nontechnical stakeholders
- Travel locally to government facilities throughout Washington, D.C., including the Pentagon and federal agency offices
What you bring
- 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
- Hands-on experience building and deploying agentic AI or large language model systems into production
- 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 blend 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 a clear record of independently owning and delivering technical projects is preferred
- Experience with distributed systems, machine learning infrastructure, or reinforcement learning is a plus
- A Bachelor’s degree in computer science, machine learning, engineering, or a related technical field is preferred (technical depth is more important than the specific degree)
- Willingness to work on-site five days per week in McLean, Virginia
- Willingness to travel locally to federal agency and government sites throughout Washington, D.C.
- Must have a SECRET clearance
Technologies
Python, RAG pipelines, multi-agent frameworks, tool-calling agents, large language models, LLM orchestration technologies
Location
Washington, DC (McLean, VA – on-site 5 days/week)
Education: Bachelor’s degree in computer science, machine learning, engineering, or a related technical field.
