Applied AI Engineer

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 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 This is a one-year term-limited fellowship with the possibility of annual renewal depending on funding and performance. Candidates must have legal authorization to work in the United States. The mode of work for this position is Hybrid with a minimum of 4 days in the office per week, Monday through Thursday, with an option of remote work on Fridays. On occasion, you may be required and must be available to work onsite on Fridays if necessitated by our center's policy and domain leadership or by your job requirements. The salary for this position will be based upon the selected candidate's education and experience. We support the creative, responsible, and ethical use of AI tools to enhance our work, in alignment with institutional policies and best practices. Excellent benefits are available, for details, see http://benefits.umich.edu/ . Salary Information The general salary range for this position is $85,000 - $92,000. Candidates can expect to be paid a competitive and equitable salary. Factors used to determine salary include education level, experience, knowledge and skills for the position and salaries that are currently established within the unit. All candidates are encouraged to discuss salary questions to honor alignment and transparency throughout the recruiting process. Organizational Statement on Harassment We believe all individuals deserve to be treated with respect and dignity and have the right to work in a professional atmosphere that promotes mutual respect and a safe space for collaboration. Any concerns shared with any staff members and student employees in the Center for Academic Innovation will be reported to the Equity, Civil Rights, & Title IX Office to be reviewed and addressed, and the Center for Academic Innovation encourages reporting of any forms of harassment including sexual and gender-based harassment. The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act. Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening 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 applicants, including protected veterans and individuals with disabilities.