AI Developer Intern 8 Months Fall 2026

Job Title: AI Developer Intern - Implementation Test Automation   Location: Toronto, ON (Hybrid)   Duration: Fall 2026 - 8 Months (September 2026 - April 2027)   Availability: *Full-time availability of 37.5 – 40 hours weekly is required to be eligible for this opportunity.   Please note: Candidates selected to move forward in the recruitment process will be required to complete an in-person technical assessment as part of the interview process.   Benefits for Students:  Experience working for one of the fastest growing Human Capital Management technology companies in the world Access to Dayforce development programs and resources  Ability to work with, as well as create relationships with, Dayforce team members across the globe  Autonomy to bring forth new ideas and optimize existing structures within the organization  Meaningful responsibilities, enabling you to obtain ‘real-world’ experience  Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce    About the opportunity: We're hiring AI Developer Interns to help build an AI-powered testing platform that transforms how Dayforce implementations are validated. Today, implementation teams spend hundreds of hours manually testing configurations, validating business scenarios, and verifying results across multiple workflows. Our goal is to reduce that effort by more than 50% through intelligent automation.   As an AI Developer Intern, you'll contribute directly to the development of production software that combines modern AI capabilities with test automation. You'll work alongside software engineers and implementation consultants to understand real customer testing processes, identify automation opportunities, prototype AI-driven solutions, and measure the impact of your work.   This is an opportunity to gain hands-on experience building agentic AI applications while solving meaningful business problems that directly improve implementation efficiency.   What you’ll get to do: Design, build, and enhance features within an AI-powered test automation platform Collaborate with implementation consultants to map manual testing workflows and identify automation opportunities Develop AI-driven workflows using technologies such as Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), and agentic AI frameworks Build capabilities for automated test case generation, execution, and intelligent analysis of test results Develop backend services using Python and SQL while contributing to front-end functionality using React and JavaScript Measure and analyze the effectiveness of automation by tracking metrics such as implementation hours saved, test coverage improvements, and earlier defect detection Document technical solutions and communicate findings to both technical and business stakeholders   Skills and experience we value: Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, Software Engineering, or a related technical field Strong programming skills in Python Working knowledge of SQL, including joins, aggregations, and query optimization Experience developing web applications using JavaScript; experience with React is considered an asset Understanding of Large Language Models (LLMs), prompt engineering, and generative AI concepts Experience working with REST APIs and modern software development practices Strong analytical and problem-solving skills Excellent verbal and written communication skills Curiosity, initiative, and the ability to work effectively in an environment with evolving requirements   What would really make you stand out: Experience with Azure AI or Azure OpenAI services Experience using LangChain or other agentic AI frameworks Knowledge of Retrieval-Augmented Generation (RAG) architectures and vector databases Experience with software test automation tools such as Playwright, Selenium, or pytest Exposure to Human Capital Management (HCM), payroll, or enterprise SaaS applications Experience contributing to production software projects through internships, research, or personal projects