AI-Powered Applications Developer for Research Systems

University Of Michigan

Michigan

Hybrid

USD 80,000 - 110,000

Full time

13 days ago
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Job summary

University of Michigan is seeking an experienced software engineer to design, build, and maintain web applications and internal tools for the OVPR. You will integrate with university services via API Gateways, central identity systems, and data sources to deliver practical, scalable solutions.

You will work closely with unit staff, apply AI tooling where appropriate, and ensure accessibility and maintainability within a small, production-focused team.

Qualifications

  • Bachelor's degree in CS or related field or equivalent experience.
  • 2+ years building and maintaining web applications (UI and server-side).
  • Experience with relational databases and SQL.
  • Hands-on REST API development and system integration.
  • Git and code-review workflows experience.
  • Ability to explain technical concepts to non-technical stakeholders.
  • Able to learn unfamiliar technologies quickly.

Responsibilities

  • Design, build, and maintain web applications and internal tools.
  • Develop and consume APIs across university services.
  • Integrate with central identity services like Okta and Shibboleth.
  • Deploy and support containerized applications on the U-M Container Service.
  • Troubleshoot defects across full stack from UI to data layer.
  • Model and query relational data behind OVPR apps.
  • Build dashboards and reports from multiple data sources.
  • Apply appropriate data handling for sensitive information.

Skills

Web development
API integration
Version control
Communication
Requirements gathering
Independent learning
Data modeling

Education

Bachelor's degree in CS or related field

Tools

Okta OIDC
Shibboleth
CollectionSpace
Git
U-M API Gateway

Job description

University of Michigan is seeking an experienced software engineer to design, build, and maintain web applications and internal tools for the OVPR. You will integrate with university services via API Gateways, central identity systems, and data sources to deliver practical, scalable solutions.

You will work closely with unit staff, apply AI tooling where appropriate, and ensure accessibility and maintainability within a small, production-focused team.

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