Remote AI Health Software Engineer — Research Tools

University of Michigan; Ann Arbor (MI); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Excellent medical, dental, vision

2:1 retirement match

Job summary

University of Michigan Medical School (UMMS) is seeking a Software Engineer to build tools and platforms that support AI in healthcare research. You will work with researchers and the technical team to translate ideas into deployable AI-powered applications, backend services, APIs, and system integrations.

The role involves connecting LLMs with institutional resources, deploying in secure OpenShift/Kubernetes environments, and creating reusable capabilities to speed up research.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, a related field, or equivalent experience.
• 5–7 years of experience designing, building, and maintaining software applications, backend services, APIs, or technical platforms.
• Proficiency in Python or a comparable programming language, with the ability to develop and troubleshoot maintainable software.
• Experience integrating APIs and services, and working with relational databases and SQL.
• Familiarity with large language model APIs and integrating AI capabilities into software tools or applications.
• Experience deploying and supporting applications, including familiarity with containers and deployment workflows.
• Ability to independently investigate technical problems, evaluate design options, and take ownership of solutions.
• Experience using version control, testing, documentation, and collaborative development practices.
• Strong communication skills and the ability to translate user needs into technical solutions while working across technical and non‑technical teams.

Responsibilities

• Design, build, and maintain AI-enabled research tools and platforms from concept through testing and deployment.
• Collaborate with researchers, clinicians, and technical colleagues to define requirements and deliver practical solutions.
• Develop backend services, APIs, automation, and components that connect AI tools with research workflows.
• Integrate AI services and large language model APIs into applications with secure data access.
• Build, deploy, and troubleshoot containerized applications in OpenShift/Kubernetes environments.
• Create reusable software components and integrations to reduce duplicated effort across projects.
• Apply software engineering best practices: version control, testing, documentation, monitoring, and maintainable design.
• Integrate applications with Epic MiChart, U-M GPT, REDCap, and other research data platforms.

Skills

Python

APIs

Relational databases

SQL

Containers

OpenShift

Kubernetes

Version control

Testing

Documentation

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

OpenShift

Kubernetes

Job description

University of Michigan Medical School (UMMS) is seeking a Software Engineer to build tools and platforms that support AI in healthcare research. You will work with researchers and the technical team to translate ideas into deployable AI-powered applications, backend services, APIs, and system integrations.

The role involves connecting LLMs with institutional resources, deploying in secure OpenShift/Kubernetes environments, and creating reusable capabilities to speed up research.