Agent Researcher

18 ч. назад

СШАOnsite

agent lifecycle managementexperimental designtesting and evaluationthird-party integration

Manage and optimize health system knowledge work agents focusing on repetitive intelligence and agent lifecycle.

Bunkerhill is a long-horizon agent for health system knowledge work. Health systems use our agent’s built-in capabilities for work that is performed consistently across customers, and use its tailored capabilities for work that is specific to them.
We are an in-person, in-office team in SF and NYC that exemplifies three core values: build for the patient, own it ship it, be bold together.
What makes health systems unique from other verticals adopting agents is the use of repetitive intelligence: the same closed-ended task is performed tens to hundreds of thousands of times per health system per year.
The team manages the agent lifecycle for closed-ended tasks that demand repetitive intelligence, from learning about a customer pain point to launching an agent that runs on every patient.

Strong technical foundation: comfortable writing code, collaborating in technical teams, and understanding core agent concepts such as delegation, memories, tool-calling, compaction, structured outputs, context engineering, and prompt design
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 sound conclusions from noisy results

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