We’re looking for a talented and driven AI Product Engineer to join our team at Bunkerhill Health. Our platform processes over 200,000 CT scans and millions of patient records each year — directly improving patient outcomes across multiple health systems.
In this role, you’ll take ownership of product features end-to-end, from design through deployment, working closely with cross-functional partners to deliver software that impacts real patients. We do not have product managers, so a lot of what a PM would do at typical companies is the responsibility of an AI Product Engineer at Bunkerhill. You will be working on building and deploying cutting edge agentic workflows at scale. You’ll thrive if you enjoy solving diverse technical problems and working at the intersection of product and engineering. This role is primarily backend focused, with opportunities to contribute across the stack.
We have a beautiful sunny office in SoMa, San Francisco and we go in 4x a week!
Produce high-quality, maintainable, and scalable technical work, with a strong focus on reliability, scalability, and readability.
Take full ownership of product features, from ideation and design to implementation, testing, and deployment.
Show initiative by staying current on emerging technologies and suggesting improvements to our stack and processes.
Demonstrate reliability through proactive communication, clear timelines, and the ability to unblock yourself and others when needed.
Spend time understanding and developing a deep intuition of the product that you're building
Collaborate across disciplines — with clinicians, end users, non-technical members of the team — by translating goals into clear, actionable, technical solutions.
Collaborate within engineering through active ideation, thoughtful code reviews, and helping teammates design and deliver robust solutions.
2+ years of full-time software engineering experience
Bachelor’s or advanced degree in Computer Science or a related field.
Strong ability to learn and adapt to new languages, frameworks, and technologies.
Proficiency in at least one backend language: Our stack is primarily Python + Rust
Excellent problem-solving, analytical, and communication skills.
A genuine interest in applying technology to improve healthcare.
Comfort using AI coding tools
Familiarity with infrastructure tooling: Kubernetes, Helm, Kustomize, Terraform, AWS/GCP.
Experience with Python frameworks such as Django or Celery.
Experience with or interest in Rust.
Familiarity with frontend languages and frameworks like Typescript and React
Willingness to interface with end users and assist with use case discovery
Comfort interacting with LLM tooling and willingness to learn about agentic workflows
Equity
Comprehensive benefits (medical, dental, vision, commuter, and 401(k))
Professional development and growth opportunities
Develop computer vision and deep learning algorithms for centimeter-level vehicle localization on HD maps, combining multi-camera vision, 3D geometry, and optimization for robust autonomous driving.
As an Applied AI Value Engineer, you will solve business-critical challenges for customers by leveraging Celonis' Process Intelligence platform and AI technologies to drive impactful solutions.
As an Applied (AI) Value Engineer, you will solve business-critical problems for customers by leveraging Celonis' Process Intelligence platform and AI technologies to drive value realization.
As an Applied (AI) Value Engineer, you will solve business-critical problems for customers by leveraging AI and Celonis' Process Intelligence platform to drive value realization and operational transformation.
Partner with customers to architect, build, and deploy production AI applications, owning projects from problem framing and evaluation through implementation, monitoring, and performance optimization.
