Role Description
Core team $300K - $500K/yr compensation Required Skills -------------------
Python LLM Systems Data Pipelines Distributed Systems
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Job Title: Forward Deployed Engineer, U.S. Government
Job Type: Full-time
Location: Remote (requires relocating to DC area)
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.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $150,000 –$250,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to [email protected].
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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