Forward Deployed Engineer (US Gov)

micro1; Washington (District of Columbia, MD); On-site; USD 120,000 - 160,000; Full time

Job summary

micro1 is seeking a Forward Deployed Engineer to advance applied AI for U.S. Government missions. The role spans research, infrastructure, and production, with forward-deployed work alongside strategic partners to deliver mission-critical AI systems.

You will build agentic AI solutions, design LLM applications, and manage end-to-end deployment in high-security environments. Expect ownership from discovery to iteration in fast-paced, mission-focused settings.

Qualifications

• 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.
• Comfortable in high-security / high-reliability environments.

Responsibilities

• 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.

Skills

Python

LLMs

Data pipelines

ML infrastructure

RL workflows

Tools

ML infra tools

Job description

Job Title: Forward Deployed Engineer, U.S. Government

Job Type: Full-time

The Role

We’re hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success.

What You’ll Work On

• 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.

What We're Looking For

• Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership.
• 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.
• Comfortable in high-security / high-reliability environments.

Preferred Qualifications

• Active U.S. security clearance or eligibility and willingness to obtain one.
• Experience supporting U.S. Government, defense, intelligence, or national security missions.
• Prior experience at a startup, defense organization, Department of War, or government-focused technology company.
• Background operating in fast-moving startup environments, mission-critical government settings, or both.