Forward-Deployed AI Engineer for Government Missions

micro1; Washington (District of Columbia); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity compensation

Performance-based bonuses

Health insurance

401(k) plan with company match

Remote-first workforce

Job summary

micro1 is seeking a Forward Deployed Engineer to advance applied AI across research and production, including forward-deployed work with government partners to ensure mission success.

You will own end-to-end systems, design multi-agent LLM applications, build data pipelines, and develop infrastructure for model inference and evaluation in high-security environments. This remote-first role requires relocation to the DC area and emphasizes 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 needs into tech.
• Develop data curation and evaluation pipelines for model training and improvement.
• Create infrastructure for model inference, experimentation, evaluation, and deployment.
• Turn mission data, models, and tools into operational autonomous systems.
• Own systems across discovery, architecture, implementation, deployment, reliability, security, and iteration.

Skills

Python development

End-to-end ownership

LLMs

Data pipelines

RL workflows

Job description

micro1 is seeking a Forward Deployed Engineer to advance applied AI across research and production, including forward-deployed work with government partners to ensure mission success.

You will own end-to-end systems, design multi-agent LLM applications, build data pipelines, and develop infrastructure for model inference and evaluation in high-security environments. This remote-first role requires relocation to the DC area and emphasizes reliability and security.