Research Engineer
Lead advanced AI research focused on agentic systems and enterprise AI infrastructure, driving innovation in large language models, reinforcement learning, and end‑to‑end MLOps solutions on cloud platforms.
About Us
Co-founded in 2023 by Joe Laws and Grant Verstandig , Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings.Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security.
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:
This role will help define how next-generation AI systems are researched, evaluated, and safely operated in p
Posted June 23, 2026