micro1
micro1Verified listing

Senior Forward Deployed Engineer, U.S. Government

40–60/hr
Hybrid
full-time
Posted October 31, 2026
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Listing checked October 31, 2026 · pay as published by micro1

Key details

Pay
$40–60/hr
Location
Hybrid
Job type
full-time
Posted
October 31, 2026

Overview

micro1 seeks a Senior Forward Deployed Engineer to lead applied AI work for U.S. Government partners. The role blends model experimentation, infrastructure, and deployment in high-assurance settings. You will own complex initiatives, make architectural calls, and turn mission needs into production AI systems. Expect to work onsite in the Greater Washington DC area 3-4 times per week.

What You'll Do8

  • Guide the design and launch of agentic AI systems for government missions, from early prototype through production.
  • Build and integrate LLM applications, including multi-agent setups, tool-using agents, RAG workflows, and human-in-the-loop autonomy.
  • Act as a senior technical partner to government stakeholders, converting mission requirements into scalable, dependable systems.
  • Lead the creation of large-scale data curation and evaluation pipelines for model training and improvement.
  • Scale infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
  • Develop AI systems that turn mission data, models, and tools into operational autonomy.
  • Own the full technical lifecycle: architecture, implementation, deployment, reliability, security, and iteration.
  • Make technical decisions, solve complex engineering problems, and mentor other engineers.

Requirements8

  • Extensive professional software engineering experience with a record of owning and delivering complex, production-grade systems.
  • Advanced Python engineering skills and demonstrated end-to-end technical ownership.
  • Hands-on experience developing and deploying LLM applications and agentic AI systems.
  • Experience designing and scaling data pipelines, ML infrastructure, and model evaluation systems.
  • Familiarity with RL workflows, simulation environments, or model experimentation.
  • Proven ability to lead technical initiatives, make architectural decisions, and mentor engineers.
  • Capacity to operate independently in ambiguous, partner-facing environments with strong technical and operational accountability.
  • Comfort working in high-security, high-reliability, mission-critical settings.

Who Should Apply

Engineers with deep Python skills and a track record of shipping agentic AI and LLM systems in production. You have scaled ML infrastructure and evaluation pipelines, and you are ready to lead technical work with government partners. An active U.S. security clearance or eligibility to obtain one is preferred.

Salary Insight

The national base salary range for this full-time role is $200,000 to $250,000. Equity compensation and performance-based bonuses may also apply. The listed $40 to $60 per hour rate appears in the source but conflicts with the annual range; clarify pay details during the hiring process.

Application tip

Highlight your experience deploying agentic AI and LLM applications in production, and quantify results such as scale, reliability, or evaluation improvements. Mention any U.S. Government, defense, or intelligence work and your security clearance status to strengthen your fit.

Pay and demand for AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$40–60/hr

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,142 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $45–$96 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Required skills

Agentic AI & LLM Systems EngineeringPython & Production Software EngineeringML Infrastructure & Model EvaluationTechnical Leadership & Forward Deployment

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