Software Engineer AI & Digital Health
University of Michigan
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Benefits offered by this job
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
Education
Tools
Job description
AI&DHI serves as the operational backbone for AI and digital health research at U-M, spanning faculty, researchers, and clinicians across 75 departments and 17 schools and colleges. Our team provides the data infrastructure, AI tools, systems integrations, and research enablement services that help investigators translate promising ideas into validated, deployable innovations. We partner closely with Michigan Medicine, Michigan Engineering, and other institutional units to deliver services researchers can rely on.
We are hiring a full‑time Software Engineer to build the tools, applications, and platforms that help University of Michigan researchers develop, test, and evaluate AI in healthcare.
You’ll work directly with researchers and our technical team to turn ideas into working solutions, building AI‑powered applications, backend services, APIs, and integrations with clinical and university systems. Your work will include connecting large language models with institutional resources, deploying applications in secure OpenShift/Kubernetes environments, and developing reusable capabilities that help research teams move faster.
We’re looking for an engineer who enjoys solving unfamiliar problems, takes ownership from initial concept through deployment, and works iteratively with users to improve what they build. Healthcare data integration is one component of a broader role spanning software development, systems integration, automation, and AI tool deployment. This position focuses on engineering the systems that enable AI research rather than developing new machine learning algorithms.
This position is hybrid, based primarily from home with onsite opportunities in Ann Arbor, Michigan. A fully remote arrangement will be considered for exceptional candidates.
- Design, build, and maintain AI‑enabled research tools, applications, and shared platforms, taking solutions from initial concept through testing, deployment, and ongoing improvement.
- Collaborate with researchers, clinicians, and technical colleagues to understand needs, define requirements, and deliver practical solutions through rapid prototyping and iterative development.
- Develop backend services, APIs, automation, and application components that connect AI tools with research workflows and institutional systems.
- Integrate large language model APIs and institutionally approved AI services into applications, including access to relevant data and evaluation of system behavior.
- Build, deploy, and troubleshoot containerized applications and services in OpenShift/Kubernetes environments, partnering with infrastructure and security teams.
- Develop reusable software components and integrations that reduce duplicated effort across research projects.
- Apply sound software engineering practices, including version control, code review, automated testing, documentation, monitoring, and maintainable system design.
- Integrate applications with Epic MiChart, U-M GPT, REDCap, research data platforms, and other services in partnership with institutional subject‑matter experts.
- Design database structures and data‑access patterns, and develop data pipelines and interfaces as needed to support applications and AI‑enabled workflows.
- Investigate unfamiliar systems and technical problems, validate assumptions with appropriate experts, and recommend solutions that balance usability, reliability, security, and scalability.
- Bachelor’s degree in Computer Science, Software Engineering, a related field, or equivalent experience.
- Five to seven 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.
- Bachelor’s degree in Computer Science, Software Engineering, a related field, or equivalent experience.
- Three to five years of experience developing software applications, backend services, APIs, or related systems.
- Proficiency in Python or a comparable programming language.
- Experience working with APIs, relational databases, and SQL.
- Familiarity with large language model APIs and their use in software applications.
- Familiarity with version control, testing, documentation, and application deployment practices.
- Ability to investigate unfamiliar technical problems, validate findings, and seek guidance from appropriate subject‑matter experts.
- Strong communication skills and the ability to collaborate with technical colleagues and research users.
- Experience building and deploying AI‑powered applications, research software, or platforms used by multiple teams.
- Hands‑on experience with Kubernetes or OpenShift, application monitoring, and deployment automation.
- Current Epic Clarity certification or Epic‑issued Clarity Proficiency credential.
- Experience with healthcare or research systems such as Epic MiChart, U‑M GPT, REDCap, Caboodle, Chronicles, or research data warehouses.
- Experience with healthcare integrations, including FHIR, HL7, interface engines, messaging systems, or real‑time data services.
- Understanding of EHR data, clinical workflows, database design, query optimization, or data‑quality validation.
- Experience working with HIPAA‑regulated data and institutional privacy, security, or research governance processes.
- Experience building AI‑enabled tools, research applications, or backend integrations.
- Familiarity with containers, Kubernetes, OpenShift, or deployment automation
- Current Epic Clarity certification or Epic‑issued Clarity Proficiency credential..
- Exposure to healthcare or research systems, including Epic, U‑M GPT, REDCap, or research data platforms.
- Familiarity with FHIR, HL7, healthcare APIs, or clinical data integration.
- Experience working with sensitive health data or HIPAA‑regulated environments.
- Master?s degree in Computer Science, Software Engineering, Biomedical Informatics, or a related field.
The University of Michigan Medical School (UMMS) fosters the education and research missions of Michigan Medicine, one of the top‑ranked academic medical centers in the country. The school has a 172‑year history of creating innovative programs designed to train the next generation of leaders in medicine, science, and other emerging health professions. Throughout our 20 clinical and nine basic science departments, we are committed to a single mission: to transform health through bold and innovative education, discovery, and service.
- Excellent medical, dental, and vision coverage effective on your very first day
- 2:1 match on retirement savings
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time and for any reason throughout the course of employment. Learn more about the work modes.
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
Michigan Medicine conducts background screening and pre‑employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third‑party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Reporting Act. Pre‑employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U‑M campuses.
Job openings are posted for a minimum of seven calendar days.The review and selection process maybegin as early as the eighth day after posting.Thisopening may be removed from posting boards and filled any time after the minimum posting period has ended.
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all ap
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