AI Infrastructure Engineer | Hybrid

About the job Position: Member of Technical Staff, Forward Deployed (US Gov) Type: Full-time Compensation: $350K - $500K/yr Location: Hybrid - Washington, D.C. Role Responsibilities Build and maintain data pipelines for model training, evaluation, and research workflows. Design and run reinforcement learning environments for experimentation and training. Develop and scale model inference systems to enhance performance and reliability. Implement and maintain software development kits and integrations across frontier AI platforms. Construct agentic systems using modern large language model stacks, ensuring security and reliability. Collaborate directly with partners in forward-deployed settings on sensitive, high-impact use cases. Requirements: Have strong relevant experience as a Python engineer with end-to-end ownership of projects. Have experience with large language models or agentic systems, such as LangChain or LangGraph. Have built or maintained data pipelines and machine learning infrastructure. Be familiar with reinforcement learning workflows or simulation environments. Have experience with distributed systems or scaling inference processes. Be comfortable operating in high-security and high-reliability environments. Application Process: Easy Apply on LinkedIn Check email for next steps Participate in resume evaluation & interview stage Desired Skills and Experience Python, LLM Systems