Forward Deployed Engineer, U.S. Government

Role Overview

Build and deploy agentic AI systems that support high-impact U.S. Government missions, taking solutions from prototype through production. This forward-deployed role combines applied AI research, production infrastructure, and direct partnership with government stakeholders in high-assurance, mission-critical environments.

Key Responsibilities

• Build and deploy agentic AI systems for U.S. Government missions.
• Design and integrate LLM applications, including multi-agent systems, tool-using agents, retrieval-augmented generation workflows, and human-in-the-loop autonomy.
• Work directly with government partners to translate mission needs into technical systems.
• Build and maintain large-scale data curation and evaluation pipelines for model training and improvement.
• Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
• Create AI systems that combine mission data, models, and tools into operational autonomy.
• Own the full system lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration.

Qualifications

• Strong Python engineering skills and experience owning systems end to end.
• Experience with LLMs and agentic AI systems.
• Experience building or maintaining data pipelines and machine learning infrastructure.
• Familiarity with reinforcement learning workflows or simulation environments.
• Ability to operate independently in ambiguous, partner-facing settings while maintaining technical and operational ownership.
• Comfort working in high-security, high-reliability environments.
• Experience supporting U.S. Government, defense, intelligence, or national-security missions is preferred.
• Experience at a startup, defense organization, Department of War, or government-focused technology company is preferred.
• Experience in fast-moving startup environments, mission-critical government settings, or both is preferred.

Work Terms

• Full-time position.
• Hybrid role based in Washington, D.C.

Compensation

• Annual compensation range: $200, 000 to $350, 000.
• All employees are eligible for equity compensation and may receive performance-based bonuses, depending on role and company policy.
• Benefits include up to 100% reimbursement for health-insurance premiums, paid time off, a 401(k) plan with company match, and additional benefits supporting a high-performing remote-first workforce.

Eligibility

• An active U.S. security clearance, or eligibility and willingness to obtain one, is preferred.
• Qualified applicants receive consideration without regard to race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law.

Application Process

Candidates who need assistance or a reasonable accommodation during the application process may contact the hiring support team.