Note: The job is a remote job and is open to candidates in USA. Michigan Medicine is hiring a Software Engineer to build tools, applications, and platforms that support University of Michigan researchers developing, testing, and evaluating AI in healthcare. The role develops AI-enabled applications, backend services, APIs, and integrations; deploys them in secure environments; and works with researchers, clinicians, and technical teams to deliver and improve research solutions.
Responsibilities
- 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
Skills
- 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
Benefits
- Excellent medical, dental, and vision coverage effective on your very first day
- 2:1 match on retirement savings
- Hybrid work, based primarily from home with onsite opportunities in Ann Arbor, Michigan; a fully remote arrangement will be considered for exceptional candidates
Company Overview