Principal AI Researcher (Agentic Systems & AI Infrastructure)

About the Role

As a Principal AI Researcher, you will define and drive the long-term research direction for the Trase operating system, the agentic execution platform powering autonomous systems in regulated environments. This role sits at the intersection of frontier AI research, agentic systems, orchestration infrastructure, and production deployment, with a focus on how models behave inside real-world execution environments rather than solely on offline benchmark performance.

You will lead research across areas such as agent workflows, tool use, long-lived execution, orchestration, and autonomous system reliability, while conducting large-scale experimentation and advancing novel approaches in applied AI systems.

This is a hands-on technical leadership role operating across research, systems, and product. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and work closely with engineering and product teams to translate frontier research into scalable, production-grade systems deployed across Trase.

Why This Role Exists

Trase OS coordinates long-lived agents, tool-augmented LLMs, multi-agent workflows, and execution in regulated enterprise environments. As these systems scale, the core challenge shifts from raw model capability to system correctness, orchestration reliability, infrastructure governance, and safe autonomous execution.

We are particularly interested in candidates with expertise or research interest in areas such as:

• agent-to-agent learning
• orchestration and harness engineering
• infrastructure governance for AI operating systems