Forward Deployed Engineer, U.S. Government

Remote$300k - $500kFull-timePosted 2w ago

About the role

Role focused on applied AI systems for high-assurance, mission-critical environments with forward-deployed work alongside government partners.

Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production.
Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy.
Work directly with government partners in forward-deployed environments 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.
Build AI systems that turn mission data, models, and tools into real operational autonomy.
Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration.

Strong Python engineer with end-to-end ownership experience.
Experience with LLMs and creating agentic systems.
Built or maintained data pipelines / ML infrastructure.
Familiar with RL workflows or simulation environments.
Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership.
Comfortable in high-security / high-reliability environments.

Required:PythonLLM SystemsData Pipelines

Last updated Oct 11, 2026. Interested? Apply on the company site.

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