AI Applications Developer

Description:

About us:

The University of Toronto Libraries (UTL) system is the largest academic library in Canada and is ranked in the top five among peer institutions in North America. The system comprises 40 libraries located across three university campuses: St. George, Mississauga, and Scarborough. This diverse and extensive network of college libraries, special collections, and specialized information centres plays a pivotal role in supporting the teaching, scholarly, and research needs of nearly 100,000 students enrolled in a wide array of graduate, professional, and undergraduate programs.

The library system provides access to millions of resources in various formats, including electronic, print, audio-visual, data and geospatial materials. UTL also boasts impressive holdings of archival material and substantial digital collections, securely preserved in the libraries' data centre. The staff at UTL are integral to the academic and scholarly enterprise, working closely with faculty and students to support their teaching, learning, and research requirements. They are subject matter experts; they are skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly communications, copyright, teaching, knowledge synthesis, open access and much more. Our work is grounded in our commitment to support equity, diversity, and inclusion.

UTL continuously evolves to meet the changing academic priorities and pressures at the University and within the broader landscape of higher education.

Your opportunity:

Reporting to the Director of Digital Library Applications, the AI Developer will join a collaborative, multifunctional team of technologists and librarians to accelerate AI adoption and projects within the University of Toronto Libraries’ Information Technology Services department (UTL ITS).
The position will accelerate responsible adoption of AI at UTL by:
•    Preparing library-licensed data for AI use and implementing a production-grade Retrieval-Augmented Generation (RAG) system
•    Designing and implementing Model Context Protocol (MCP) servers to integrate approved AI tools with priority library web services and data sources
•    Developing and evaluating locally hosted, open-source LLM services to meet privacy, cost, and data-governance constraints

Your responsibilities will include:

• Analyzing, recommending, and designing highly complex software architecture
• Developing and updating architectural framework for highly complex and confidential university-wide applications
• Writing complex technical code
• Analyzing, recommending and designing technical solutions for highly complex IT problems

Essential Qualifications:

• Bachelor's Degree (Computer Science) or acceptable combination of equivalent experience.
• Minimum five years experience in a development role
• Excellent written and verbal communication skills, with the ability to collaborate and communicate with stakeholders at various levels of technical understanding
• AI-powered development experience, including:
  o    Demonstrated experience incorporating AI coding assistants (e.g. GitHub Copilot, Claude, Cursor) into a professional development workflow, including critical evaluation and correction of AI-generated output
  o    Experience with prompt and context engineering techniques for code generation, refactoring, and documentation tasks
  o    Experience with agentic development workflows, including human-led AI orchestration across planning, task generation, implementation, testing, and documentation phases
  o    Experience with AI-assisted code review, test generation, or technical writing in a team context
  o    Interest in or experience with LLM orchestration frameworks (e.g. LangChain, LangGraph, LlamaIndex, Vercel AI SDK)
  o    Ability to evaluate and select appropriate AI tooling for a given problem, including awareness of cost, latency, and privacy trade-offs
• Experience in AI application and service development, including:
  o    Hands-on experience or demonstrable self-directed learning in Retrieval Augmented Generation (RAG) pipeline design, including document ingestion, chunking strategies, embedding models, and vector store integration
  o    Experience building or experimenting with Model Context Protocol (MCP) servers, including tool design, transport configuration, and access control considerations
  o    Familiarity with local LLM deployment (e.g. Ollama, LM Studio) and the trade-offs between local inference and hosted API services
  o    Understanding of AI system evaluation, including assessing retrieval quality, output reliability, and failure modes in non-deterministic systems
  o    Awareness of privacy, data residency, and licensing considerations when designing AI pipelines that process PII or proprietary/licensed content
  o    Strong interest in designing AI systems with auditability, access controls, and data minimization in mind
• Software development experience, including:
  o    Experience data manipulation and transformation in common formats (e.g. JSON, XML, CSV) using Python and similar languages
  o    Experience in secure development and testing practices, including OWASP guidelines
  o    Demonstrated ability to write technical documentation and deliver presentations

Assets (Non-essential):

• Experience with Docker, Kubernetes, and containerization principles
• Experience with Unix-based shell environments
• Expertise and knowledge of modern front-end and back-end web development languages and frameworks such as JavaScript (Next.js/React/Node) and Python
• Significant experience with relational (e.g. MariaDB, Postgres) and non-relational databases (e.g. MongoDB)
• Understanding and experience with Web Accessibility standards (AODA) and Responsive Web Design
• Experience using tools for software-versioning (e.g. Git, GitLab), issue-tracking (e.g. JIRA), and project management

To be successful in this role you will be:

• Accountable
• Efficient
• Organized
• Problem solver
• Responsible

Notes:

This is a one (1) year term position.

Closing Date: 07/05/2026, 11:59PM ET
Employee Group: USW 
Appointment Type : Budget - Term 
Schedule:
Pay Scale Group & Hiring Zone:
USW Pay Band 16 -- $103,367. with an annual step progression to a maximum of $132,188. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Information Technology (IT)
Recruiter: View email address on jobs.utoronto.ca

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Job descriptions are available upon request for internal applicants.