Role Description
Core team $350K - $500K/yr compensation Required Skills -------------------
Python LLM Systems Data Pipelines Distributed Systems
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale. Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description -------------------
Job Title: Member of Technical Staff, Forward Deployed (US Gov)
Job Type: Full-time
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.
What You’ll Work On
- Build and maintain data pipelines for model training, evaluation, and research workflows.
- Design and run RL environments for experimentation and training.
- Develop and scale model inference systems.
- Implement and maintain SDKs and integrations across frontier AI platforms.
- Build agentic systems (multi-agent, tools, RAG) using modern LLM stacks.
Take systems from prototype* production, with reliability and security in mind.
- Work directly with partners in forward-deployed settings on sensitive, high-impact use cases.
What We're Looking For
- Strong Python engineer with end-to-end ownership experience.
- Experience with LLMs / agentic systems (LangChain, LangGraph, or similar).
- Built or maintained data pipelines / ML infrastructure.
- Familiar with RL workflows or simulation environments.
- Experience with distributed systems or inference scaling.
- Comfortable in high-security / high-reliability environments.
- Able to operate independently in ambiguous, partner-facing contexts.
Preferred
- Experience in regulated or mission-critical domains.
- Familiarity with Vertex AI, Bedrock, or similar platforms.
- Background in security, infra, or high-reliability systems.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$250,000 USD. 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.
Similar Roles
Get the FDE Pulse Brief
Weekly market intelligence for Forward Deployed Engineers. Job trends, salary data, and who's hiring. Free.