AI Forward Deployed Engineer

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.