About the Role
Build and deploy production-grade agentic AI systems for high-impact government missions. This hands-on engineering role combines developing AI systems from prototype through deployment with direct collaboration with government partners.
What You'll Do
Build and deploy LLM-powered agentic systems, including multi-agent, retrieval-augmented generation, and human-in-the-loop workflows.
Work with government partners to translate mission needs into practical technical systems.
Design and maintain data curation, evaluation, and machine learning infrastructure pipelines.
Own systems through architecture, implementation, deployment, reliability, and iteration.
Create new AI systems that turn mission data and models into operational capabilities.
What We're Looking For
Up to 10 years of relevant experience, with hands-on engineering experience in AI/ML, software, or solutions engineering.
Strong Python skills and experience with TypeScript, ideally in full-stack engineering.
Experience building and shipping AI agents into production, including customer-facing technical work.
Deep expertise in at least one area such as model pre-training or post-training, RAG, or retrieval systems.
Experience building data pipelines, labeling workflows, or ML infrastructure.
Ability to work independently in ambiguous, partner-facing environments, with experience in high-security or high-reliability settings.
A technical degree; experience in government, defense, or national security environments and familiarity with reinforcement learning or simulation workflows are relevant.
Willingness to travel up to 20% to government partner sites. Applicants must be authorized to work in the United States without visa sponsorship. An active security clearance is not required on day one.
Compensation & Benefits
Base salary: $160,000 to $250,000 annually. Visa sponsorship is not available.
Location
Hybrid in Washington, United States.