M
Micro1
RemoteHotAI & Machine LearningData Engineering

Member of Technical Staff, Forward Deployed (US Gov) | $40-$60/hr Remote

$40–$60/hr
Posted May 17, 2026
full-time

Overview

This role involves working on applied AI systems across research and production, focusing on model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments. The candidate will build data pipelines, develop RL environments, scale inference systems, and create agentic systems using modern LLM stacks. Forward-deployed work with strategic partners on sensitive, high-impact use cases is a core component of the position.

What You'll Do7

  • 1Build and maintain data pipelines for model training, evaluation, and research workflows.
  • 2Design and run reinforcement learning (RL) environments for experimentation and training.
  • 3Develop and scale model inference systems.
  • 4Implement and maintain SDKs and integrations across frontier AI platforms.
  • 5Build agentic systems (multi-agent, tools, RAG) using modern LLM stacks.
  • 6Take systems from prototype to production with reliability and security in mind.
  • 7Work directly with partners in forward-deployed settings on sensitive, high-impact use cases.

Requirements7

  • 1Strong Python engineer with end-to-end ownership experience.
  • 2Experience with LLMs and agentic systems (LangChain, LangGraph, or similar).
  • 3Built or maintained data pipelines and ML infrastructure.
  • 4Familiarity with RL workflows or simulation environments.
  • 5Experience with distributed systems or inference scaling.
  • 6Comfortable in high-security and high-reliability environments.
  • 7Able to operate independently in ambiguous, partner-facing contexts.

Who Should Apply

The ideal candidate is a strong Python engineer with end-to-end ownership experience, expertise in LLMs/agentic systems, and a background in building data pipelines or ML infrastructure. They should be familiar with RL workflows, distributed systems, and comfortable working in high-security, mission-critical environments. The person must be able to operate independently in ambiguous, partner-facing contexts and ideally have experience in regulated or mission-critical domains.

Salary Insight

The national pay range for this full-time position is a base salary of $200,000 – $250,000 USD. All employees are eligible for equity compensation and may receive performance-based bonuses. micro1 also provides comprehensive benefits including up to 100% reimbursement for health-insurance premiums, paid time off, and a 401(K) plan with a company match.

Required Skills

PythonLLM SystemsData PipelinesDistributed Systems

Application Tip

Highlight any experience you have working in high-security, regulated, or mission-critical environments (e.g., government, defense, or sensitive data contexts) and provide concrete examples of building and deploying production AI systems end-to-end.

Share: