Principal Ai Researcher (agentic Systems & Ai Infrastructure)

Red Cell Partners

Remote
Remote
12-15+ years ml/ai experience
Agentic systems and multi-agent orchestration
Production deployment of autonomous agents
This role defines the long-term research direction for Trase OS, an operating system powering autonomous systems in regulated environments

Job Summary

  • This role defines the long-term research direction for Trase OS, an operating system powering autonomous systems in regulated environments.
  • The successful candidate will lead large-scale experimentation to translate frontier AI research into scalable, production-grade agentic systems.
  • You will drive technical breakthroughs in orchestration, tool use, memory systems, and safety while mentoring engineering teams.

Matching Summary

This role defines the long-term research direction for Trase OS, an operating system powering autonomous systems in regulated environments.

Skills & Requirements

Must-have

  • 12-15+ years ML/AI experience
  • Agentic systems and multi-agent orchestration
  • Production deployment of autonomous agents
  • Large-scale experimentation with compute infrastructure
  • SLM fine-tuning and post-training adaptation
  • Evaluation frameworks for agent reliability

Nice-to-have

  • Experience with Java or systems languages
  • Publications at top-tier AI conferences
  • Background in healthcare or national security sectors
  • Thought leadership in AI research community
  • Expertise in air-gapped and secure deployments

Key Requirements

  • 12-15+ years of machine learning or AI systems experience
  • Proven track record of publishing at top-tier conferences
  • Deep expertise in agentic systems and LLM architectures
  • Hands-on experience with Python and modern ML stacks

Work Rights

Not specified

Tailored Resume

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