Forward Deployed Engineer (US Gov)

micro1; Washington; On-site; USD 120,000 - 190,000; Full time

Job summary

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

You will design and deploy agentic AI systems, integrate multi-agent and tool-using architectures, and manage data pipelines and ML infrastructure for production-grade reliability and security.

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 from prototype to production for high-impact missions.
• Design and integrate LLM applications, including multi-agent systems and RAG workflows.
• Collaborate with government partners in forward-deployed environments to translate mission needs into technical systems.
• Develop data curation and evaluation pipelines for model training and improvement.
• Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
• Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration.

Skills

Python programming

LLMs

Agentic systems

Data pipelines

RL workflows

Security/compliance

Tools

ML infrastructure

Inference servers

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.