Forward Deployed Engineer (US Gov)

micro1; Maryland; On-site; USD 140,000 - 180,000; Full time

Job summary

micro1 is seeking a Forward Deployed Engineer to advance applied AI for U.S. Government missions. The role spans model experimentation, infrastructure, and deployment in high-assurance environments, including forward-deployed work with strategic partners to ensure mission success.

You will build agentic AI systems, design LLM applications, and work with government partners to translate needs into robust technical solutions, owning the full lifecycle from discovery to deployment.

Qualifications

• Strong Python engineering skills with end-to-end ownership.
• Experience with LLMs and agentic system creation.
• Built or maintained data pipelines and ML infrastructure.
• Familiar with reinforcement learning workflows or simulators.
• Comfortable in high-security, high-reliability environments.

Responsibilities

• Build and deploy agentic AI systems from prototype to production for mission-critical uses.
• Design and integrate LLM applications, including multi-agent systems and tool-using agents.
• Collaborate with government partners to translate mission needs into technical systems.
• Build and maintain data curation and evaluation pipelines for model training and improvement.
• Develop infrastructure for model inference, experimentation, evaluation, and deployment.
• Build AI systems that turn mission data, models, and tools into operational autonomy.
• Own systems across the full lifecycle from discovery to deployment and iteration.

Skills

Python

LLMs

Agentic systems

Data pipelines

ML infrastructure

RL workflows

Security clearance

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.