Bunkerhill Health

AI Product Engineer

Bunkerhill Health
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11 months ago
San Francisco, CA, USAMid Level
H1B sponsor

Base Salary

$160k - $260k/yr

Responsibilities

  • Own product features from ideation and design through implementation, testing, and deployment.
  • Build and deploy scalable agentic workflows and reliable software that impacts patient outcomes.
  • Produce maintainable, readable, scalable, and reliable technical work.
  • Understand the product deeply and translate clinician, end-user, and cross-functional goals into actionable technical solutions.
  • Collaborate with engineers through ideation, code reviews, and solution design.
  • Stay current on emerging technologies and suggest improvements to the technology stack and processes.
  • Communicate proactively, establish clear timelines, and help unblock teammates.

Requirements

  • At least two years of full-time software engineering experience.
  • Bachelor’s or advanced degree in Computer Science or a related field.
  • Proficiency in at least one backend language, particularly Python or Rust.
  • Ability to learn and adapt to new languages, frameworks, and technologies.
  • Strong problem-solving, analytical, communication, and collaboration skills.
  • Genuine interest in applying technology to improve healthcare.
  • Comfort using AI coding tools.
  • Nice to have familiarity with Kubernetes, Helm, Kustomize, Terraform, AWS, or GCP.
  • Nice to have experience with Django, Celery, Rust, TypeScript, React, LLM tooling, or agentic workflows.
  • Willingness to interface with end users and assist with use case discovery.

Benefits

  • Equity and comprehensive medical, dental, vision, commuter, and 401(k) benefits.
  • Professional development and growth opportunities.
  • Primarily in-office in SoMa, San Francisco, three days per week.
Bunkerhill Health

About Bunkerhill Health

11-50 employees

Bunkerhill Health builds Carebricks, a platform for health systems to create, share, and deploy AI agents and diagnostic algorithms for clinical and operational workflows. It partners with academic medical centers to distribute models and sells enterprise software to U.S. health systems; its platform processes over 200,000 CT scans and millions of patient records each year across multiple networks. Founded in 2021 and headquartered in San Francisco, it is a privately held company.

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