Forward Deployed Engineer, U.S. Government
micro1About the role
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.
Responsibilities
- Build and deploy agentic AI systems for U.S. Government missions
- Design and integrate LLM applications and multi-agent systems
- Work with government partners to translate mission needs into technical systems
- Build and maintain data curation and evaluation pipelines
- Develop infrastructure for model inference and deployment
- Own systems across the full lifecycle from discovery to iteration
Qualifications
- Strong Python engineering skills with end-to-end ownership experience
- Experience with LLMs and creating agentic systems
- Experience building or maintaining data pipelines and ML infrastructure
- Familiarity with RL workflows or simulation environments
- Ability to operate independently in ambiguous settings
Skills mentioned
About micro1
the leading data lab that builds real-world RL environments to train models and agents