Job description

Requirements Build and deploy agentic AI systems that support high-impact U.S. Government missions, working forward-deployed with government partners to take systems from prototype to production. ### Requirements - 3+ years on federal projects as a solutions engineer, solutions architect, forward deployed engineer, sales engineer, or mission specialist - Must be in the DC area - Secret clearance or above strongly preferred - Strong Python engineer with end-to-end ownership experience - Experience with LLMs and building agentic systems - Built or maintained data pipelines / ML infrastructure - Familiar with RL workflows or simulation environments - Comfortable in high-security / high-reliability environments - Able to operate independently in ambiguous, partner-facing settings ### What you'll work on - Agentic AI systems for U.S. Government missions, prototype to production - LLM applications: multi-agent systems, tool-using agents, RAG workflows, human-in-the-loop autonomy - Forward-deployed work with government partners, translating mission needs into technical systems - Data curation and evaluation pipelines for model training and improvement - Infrastructure for inference, experimentation, evaluation, and deployment across frontier AI platforms - Full lifecycle ownership: discovery, architecture, implementation, deployment, reliability, security Ideal Candidate - Active Secret clearance or above strongly preferred - 3+ years on federal projects as a solutions engineer, solutions architect, forward deployed engineer, sales engineer, or mission specialist - Experience supporting U.S. Government, defense, intelligence, or national security missions - Background at a startup, defense organization, or government-focused technology company - Comfortable in fast-moving startup or mission-critical government settings

Requirements

Must-haves

Build and deploy agentic AI systems that support high-impact U.S. Government missions, working forward-deployed with government partners to take systems from prototype to production.
### Requirements
3+ years on federal projects as a solutions engineer, solutions architect, forward deployed engineer, sales engineer, or mission specialist
Must be in the DC area
Strong Python engineer with end-to-end ownership experience
Experience with LLMs and building agentic systems
Built or maintained data pipelines / ML infrastructure
Familiar with RL workflows or simulation environments
Comfortable in high-security / high-reliability environments
Able to operate independently in ambiguous, partner-facing settings
### What you'll work on
Agentic AI systems for U.S. Government missions, prototype to production
LLM applications: multi-agent systems, tool-using agents, RAG workflows, human-in-the-loop autonomy
Forward-deployed work with government partners, translating mission needs into technical systems
Data curation and evaluation pipelines for model training and improvement
Infrastructure for inference, experimentation, evaluation, and deployment across frontier AI platforms
Full lifecycle ownership: discovery, architecture, implementation, deployment, reliability, security
Ideal Candidate
3+ years on federal projects as a solutions engineer, solutions architect, forward deployed engineer, sales engineer, or mission specialist
Experience supporting U.S. Government, defense, intelligence, or national security missions
Background at a startup, defense organization, or government-focused technology company
Comfortable in fast-moving startup or mission-critical government settings

Nice-to-haves

Secret clearance or above strongly preferred
Active Secret clearance or above strongly preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonmlllm

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Effort: medium