Deployed Engineer (Federal)

Responsibilities

• Co-architect and co-build production AI agents with federal engineering teams and system integrators.
• Own the technical win in federal pre-sales engagements by designing secure proofs of concept, supporting RFI/RFP technical responses, and guiding technical evaluations.
• Design architectures that meet federal security and compliance requirements, including FedRAMP, DoD IL2–IL6, and NIST.
• Help agencies deploy and operate agent-based applications such as mission-support copilots, intelligence-analysis agents, research-automation systems, and multi-step operational workflows.
• Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions.
• Deliver technical demos, workshops, and enablement sessions for government developer and operator audiences.
• Partner with security teams on ATO processes and accreditation pathways.
• Surface field feedback and contribute reusable patterns, secure deployment guides, and example code.
• Occasionally contribute code upstream when it improves federal customer outcomes.

Requirements

• 3+ years in a relevant technical role, such as software engineering, customer engineering, solutions engineering, or product engineering.
• Experience working with the Department of Defense, Civilian Agencies, Intelligence Community, or federal system integrators.
• Strong Python and JavaScript fundamentals with deep systems thinking.
• Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling.
• Familiarity with secure cloud environments such as AWS GovCloud and Azure Government.
• Experience operating in regulated environments with security, compliance, and documentation requirements.
• Experience supporting technical evaluations, architecture reviews, and competitive down-select processes.
• Ability to explain technical tradeoffs clearly to government stakeholders and build trust across engineering and program leadership.
• Ownership mindset, bias toward action, and comfort operating in ambiguity.

Nice-to-haves

• Active or prior U.S. security clearance, including Secret or TS/SCI.
• Experience deploying AI systems in classified or air-gapped environments.
• Familiarity with FedRAMP authorization processes or DoD Impact Levels IL2–IL6.
• Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings.
• Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures.
• Experience working alongside federal system integrators such as Booz Allen, SAIC, or Leidos.
• Production experience with LangChain, LangGraph, or similar agent frameworks.

Compensation & Benefits

• Annual OTE range: $150,000–$250,000 USD.
• Compensation includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
• Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, and meals on in-office days in the US.