AI Forward Deployed Engineer

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.

• 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.

Hybrid in Washington, United States.

• 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.

Base salary: $160,000 to $250,000 annually. Visa sponsorship is not available.