Agent Researcher

The role

The Agent Researcher will inform optimal agent design through experimentation. This person will optimize agentic correctness, cost, and velocity while owning agent testing and evaluation.

What you will do

• Inform optimal agent design through experimentation
• Optimize agentic correctness, cost, and velocity
• Increase agent developer velocity
• Establish reliable connectors with third-party systems
• Own agent testing and evaluation
• Identify and advocate for platform improvements
• Identify opportunities that demand repetitive intelligence

Required qualifications

• Strong technical foundation: comfortable writing code, collaborating in technical teams, and understanding core agent concepts such as delegation, memories, tool-calling, compaction, structured output
• Strong scientific background: comfortable running experiments and with AI fundamentals such as dataset curation, training an AI system, designing evaluations and metrics, error analysis, and drawing s

Nice to have

• Experience building AI systems or agentic systems
• A CS, engineering, or math degree or equivalent technical experience
• Experience with healthcare data or systems, such as EHRs, clinical documentation, or HL7/FHIR
• Experience taking an AI system from prototype to production at scale
• Published research or open-source contributions in machine learning or AI agents

About the company

Bunkerhill is a long-horizon agent for health system knowledge work. The team is an in-person, in-office team in SF and NYC.