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Bunkerhill Health

Develops health algorithms, trains, validates

AI Product Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 2 years of full-time software engineering experience.
  • A bachelor's or advanced degree in Computer Science or a related field.
  • Proficiency in at least one backend programming language; the primary stack uses Python and Rust.
  • Ability to learn and adapt to new languages, frameworks, and technologies.
  • Comfort using AI coding tools.
  • Interest in applying technology to improve healthcare.

Responsibilities

  • Produce high-quality, maintainable, and scalable technical work, focusing on reliability, scalability, and readability.
  • Own product features end-to-end, from ideation and design through implementation, testing, and deployment.
  • Stay current on emerging technologies and suggest improvements to the technology stack and processes.
  • Communicate proactively, provide clear timelines, and unblock oneself and others when needed.
  • Develop a deep understanding of the product being built.
  • Collaborate with clinicians, end users, and non-technical team members by translating goals into actionable technical solutions.
  • Collaborate with engineering teammates through ideation, code reviews, and helping design and deliver robust solutions.

Desired Qualifications

  • Familiarity with infrastructure tools including Kubernetes, Helm, Kustomize, Terraform, AWS, or GCP.
  • Experience with Python frameworks such as Django or Celery.
  • Experience with or interest in Rust.
  • Familiarity with TypeScript and React.
  • Willingness to interface with end users and assist with use-case discovery.
  • Comfort interacting with large language model tooling and willingness to learn about agentic workflows.

About the Company

Bunkerhill Health

Develops health algorithms, trains, validates

Bunker Hill Health develops, trains, and validates algorithms for the health sector. Its services cover end-to-end work: building custom algorithms, conducting training for client teams, and performing rigorous validation before deployment to improve accuracy and efficiency. The company differentiates itself by pairing software development with structured training and validation, plus performance-based incentives tied to ROI. Its goal is to help healthcare providers, researchers, and technology firms streamline operations, improve patient outcomes, and achieve measurable ROI.

Company size
11-50
Company stage
Series B
Total funding
$31.6M
Headquarters
San Francisco, CA
Founded
2019

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