Applied AI Engineer

Women In Science; Ann Arbor (MI); On-site; USD 55,000 - 75,000; Full time

Job summary

The Center for Academic Innovation at the University of Michigan is seeking an Applied AI Engineer for a one-year post-graduate fellowship focused on practical AI prototyping, evaluation, platform operations, and knowledge transfer. You will build and test AI-enabled workflows, integrations, evaluation tools, and technical documentation under the Director of Technology Infrastructure and Support.

The fellowship emphasizes hands-on delivery, operating a multi-GPU AI server, and sharing outcomes

Qualifications

• A bachelor's degree in computer science, information, human-computer interaction, data science, engineering, learning sciences, or a related field, or an equivalent combination of education and applied experience, completed by the start date
• Hands-on programming experience in Python, JavaScript, or a comparable language, including experience working with APIs
• Experience building applications with large language models, retrieval-augmented generation, structured outputs, agents, or related AI techniques
• Experience using Git and working with cloud, container, or modern application-development environments
• Experience designing tests or evaluations and interpreting both quantitative results and user feedback
• Working knowledge of software security, privacy, access control, and responsible AI practices
• Experience with retrieval-augmented generation and agent frameworks, experience with evaluation or observability tooling
• Ability to learn and appropriately use new technologies to improve processes, communication, and outcomes, including AI-enabled tools where relevant to the role, consistent with university policy and job responsibilities

Responsibilities

• Prototype and test AI-enabled workflows for CAI projects selected through intake, building lightweight applications, connectors, retrieval pipelines, and automations that integrate with existing CAI systems
• Support pilots with domain experts, collect user feedback, diagnose failures, and iterate
• Build evaluation datasets, test cases, and repeatable harnesses for quality, reliability, safety, and cost
• Implement logging, access controls, guardrails, and operational telemetry in partnership with TIS staff
• Establish defined operating work for CAI's local AI server, including model deployment, updates, monitoring, and runbook upkeep
• Share practical guidance through demonstrations, office hours, and workshops for staff and student fellows

Skills

Python

JavaScript

APIs

LLMs

Git

Testing/evaluation

Security & privacy

Observability tooling

Adaptability to new tech

Education

Bachelor's degree in CS or related field

Tools

Cloud environments

Containers/Docker

Job description

University of Michigan

Ann Arbor, MI

Job posting number: #7372516

Posted: October 13, 2026

Application Deadline: Open Until Filled

Job Description

Responsibilities

• Prototype and test AI-enabled workflows for CAI projects selected through intake, building lightweight applications, connectors, retrieval pipelines, and automations that integrate with existing CAI systems
• Support pilots with domain experts, collect user feedback, diagnose failures, and iterate
• Build evaluation datasets, test cases, and repeatable harnesses for quality, reliability, safety, and cost
• Implement logging, access controls, guardrails, and operational telemetry in partnership with TIS staff
• Establish defined operating work for CAI's local AI server, including model deployment, updates, monitoring, and runbook upkeep
• Share practical guidance through demonstrations, office hours, and workshops for staff and student fellows

What You'll Do

The Center for Academic Innovation at the University of Michigan is seeking an Applied AI Engineer for a one-year post-graduate fellowship focused on practical AI prototyping, evaluation, platform operations, and knowledge transfer. Reporting to the Director of Technology Infrastructure and Support, you will work closely with the AI Enablement Lead and TIS colleagues to build and test AI-enabled workflows, integrations, evaluation tools, and technical documentation. The successful candidate is a careful builder who can learn quickly, explain tradeoffs clearly, and turn experiments into maintainable, well-documented assets. You will report to the Director of Technology, Infrastructure and Support.

What makes this fellowship distinctive

You will help operate CAI's dedicated multi-GPU local AI server and the open-source software stack that supports it, gaining experience deploying, evaluating, and monitoring models. Projects across the Center will give you a varied portfolio of applications and reusable tools. You will also share your work through demonstrations, office hours, and workshops. The fellowship combines hands-on delivery, platform operations, and knowledge transfer, with documented project outcomes and a handoff to the next cohort to help build a fellowship alumni community over time.

Required Qualifications

• A bachelor's degree in computer science, information, human-computer interaction, data science, engineering, learning sciences, or a related field, or an equivalent combination of education and applied experience, completed by the start date
• Hands-on programming experience in Python, JavaScript, or a comparable language, including experience working with APIs
• Experience building applications with large language models, retrieval-augmented generation, structured outputs, agents, or related AI techniques
• Experience using Git and working with cloud, container, or modern application-development environments
• Experience designing tests or evaluations and interpreting both quantitative results and user feedback
• Working knowledge of software security, privacy, access control, and responsible AI practices
• Experience with retrieval-augmented generation and agent frameworks, experience with evaluation or observability tooling
• Ability to learn and appropriately use new technologies to improve processes, communication, and outcomes, including AI-enabled tools where relevant to the role, consistent with university policy and job responsibilities

Contact Information

More Info

Job posting number: #7372516 Application Deadline: Open Until Filled Employer Location: Online Job Advertising

JAX,Florida

United States