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