Full-timeWashington, DC, United StatesHybridExpired

Forward Deployed Engineer, U.S. Government

micro1 is hiring a Forward Deployed Engineer to build and deploy applied AI systems supporting high-impact U.S. Government missions. The role spans agentic AI, LLM applications, multi-agent systems, RAG, data and evaluation pipelines, model infrastructure, and production deployment in high-assurance environments. Engineers will work directly with government partners and own systems across discovery, architecture, implementation, deployment, reliability, security, and iteration. The position requires relocation to the Washington, DC area.

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Salary

$40 - $60 / hour

Department

AI Engineering & U.S. Government

Experience

Experienced

Responsibilities

Build and deploy agentic AI systems supporting high-impact U.S. Government missions from prototype through 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 requirements 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 systems that transform mission data, AI models, and software tools into operational autonomy.
Own technical systems across discovery, architecture, implementation, deployment, reliability, security, and iteration.
Operate independently in ambiguous, partner-facing environments with significant technical and operational ownership.
Support deployment and operation of AI systems in high-security and high-reliability environments.
Collaborate with strategic government partners to ensure deployed systems meet mission requirements.

Skills

PythonLLM SystemsAgentic AIAI AgentsMulti-Agent SystemsRAGRetrieval-Augmented GenerationData PipelinesDistributed SystemsMachine Learning InfrastructureModel InferenceModel EvaluationAI InfrastructureHuman-in-the-LoopTool-Using AgentsReinforcement LearningSimulation EnvironmentsData CurationSystem ArchitectureProduction DeploymentSecurity

Requirements

Strong Python engineering skills with demonstrated end-to-end ownership of technical systems.
Hands-on experience developing applications using large language models.
Experience creating agentic AI systems and autonomous or semi-autonomous workflows.
Experience building or maintaining data pipelines or machine learning infrastructure.
Understanding of distributed systems and production-grade software architecture.
Familiarity with reinforcement learning workflows or simulation environments.
Ability to operate independently in ambiguous and partner-facing environments.
Comfort working with mission-critical, high-security, and high-reliability systems.
Ability and willingness to relocate to the Washington, DC area.
Active U.S. security clearance or eligibility and willingness to obtain one is preferred.
Experience supporting U.S. Government, defense, intelligence, or national security missions is preferred.
Experience in startups, defense organizations, or government-focused technology companies is advantageous.
Ability to take ownership across architecture, implementation, deployment, reliability, and security.

Benefits

Full-time opportunity
National base salary range of $150,000–$250,000
Equity compensation eligibility
Performance-based bonus opportunities
Up to 100% reimbursement for health insurance premiums
Paid time off
401(k) plan with company match
Work on mission-critical U.S. Government AI systems
Build production agentic AI and LLM infrastructure
Work directly with strategic government partners
Contribute to high-impact applied AI systems from prototype through deployment

Forward Deployed Engineer, U.S. Government

Responsibilities

Build and deploy agentic AI systems supporting high-impact U.S. Government missions from prototype through 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 requirements 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 systems that transform mission data, AI models, and software tools into operational autonomy.

Own technical systems across discovery, architecture, implementation, deployment, reliability, security, and iteration.

Operate independently in ambiguous, partner-facing environments with significant technical and operational ownership.

Support deployment and operation of AI systems in high-security and high-reliability environments.

Collaborate with strategic government partners to ensure deployed systems meet mission requirements.

Skills

Requirements

Strong Python engineering skills with demonstrated end-to-end ownership of technical systems.

Hands-on experience developing applications using large language models.

Experience creating agentic AI systems and autonomous or semi-autonomous workflows.

Experience building or maintaining data pipelines or machine learning infrastructure.

Understanding of distributed systems and production-grade software architecture.

Familiarity with reinforcement learning workflows or simulation environments.

Ability to operate independently in ambiguous and partner-facing environments.

Comfort working with mission-critical, high-security, and high-reliability systems.

Ability and willingness to relocate to the Washington, DC area.

Active U.S. security clearance or eligibility and willingness to obtain one is preferred.

Experience supporting U.S. Government, defense, intelligence, or national security missions is preferred.

Experience in startups, defense organizations, or government-focused technology companies is advantageous.

Ability to take ownership across architecture, implementation, deployment, reliability, and security.

Benefits

Full-time opportunity

National base salary range of $150,000–$250,000

Equity compensation eligibility

Performance-based bonus opportunities

Up to 100% reimbursement for health insurance premiums

Paid time off

401(k) plan with company match

Work on mission-critical U.S. Government AI systems

Build production agentic AI and LLM infrastructure

Work directly with strategic government partners

Contribute to high-impact applied AI systems from prototype through deployment