We are committed to providing our Co-ops/Interns with a student experience that provides a supportive and engaging learning environment while developing skills and business acumen. Students will have the opportunity to participate in a variety of experiences including our Speaker Series, Fireside Chats, Volunteer opportunities and Networking events. 

Eligibility Note: To qualify for a student (Co-op/Internship) opportunity, students must be enrolled in their academic studies at a post-secondary institution (university/college) and must be returning to school after completion of their work term with QuadReal.  If you are a student registered in an official co-op program at your post-secondary institution and completion of a final work term is a mandatory component for you to graduate, you are eligible to apply with the understanding that you will leave QuadReal at the end of your work term or have the possibility to be considered for full-time opportunities. 

Based in Toronto, the Co-op/Intern, AI Software Engineering, will report to the Director, Data & Machine Learning Products, and join QuadReal's AI & Digital Innovation team. QuadReal is a real estate company actively adopting AI in its day-to-day operations, building and deploying high-leverage AI products for the business. The successful candidate will write code, ship features, and learn how AI products are designed, deployed, and governed inside an enterprise, contributing directly to live products and owning a discrete prototype end-to-end.  

What We Offer: 

• An organization and leaders that support your development through meaningful work experience 

• A Student Mentorship Program designed to provide AI support throughout your experience 

• Opportunities to build your industry knowledge through weekly Speaker Series & Fireside Chats 

• Opportunities to participate in case competitions within QuadReal during your work term, fostering cross-functional collaboration with intern peers and enhancing exposure to real-world problem-solving. 

• Giving back to the community with your peers and team members through volunteering events 

• Opportunities to build long-lasting industry and professional relationships 

What You Will Experience: 

Build alongside the engineering team (60%) 

• Pair on features for the team's AI product portfolio 

• Pick up tickets from the active sprint, write code, get it reviewed, ship it 

• Write tests, fix bugs, refactor where needed 

• Use modern AI coding assistants daily as part of your normal workflow 

Own a prototype (25%) 

• Take one scoped business problem and build a working prototype across the term 

• Scope, design, build, demo, and document; engineering reviews architecture, the Director approves scope 

• Ship it to a small pilot group if it works 

Engineering hygiene and team rituals (15%) 

• Attend standups, sprint reviews, and code reviews 

• Document what you build; keep runbooks and READMEs current 

• Participate in the team's review process for anything that touches production 

What You Will Bring: 

• Currently enrolled in or recently graduated from a CS, Software Engineering, or related program 

• Comfortable in at least one modern language (Python, TypeScript, or C#) 

• Comfortable with Git, basic command line, and reading other people's code 

• Demonstrated experience using AI coding tools on real projects, school or personal 

• Brings curiosity, integrity, and a collaborative mindset to every problem and takes ownership of their work from start to finish 

• Cloud experience, ideally Microsoft Azure, is a plus 

• Front-end experience (React, Next.js) or a full-stack project on a resume is an asset 

• Exposure to LLM application patterns (retrieval, tool use, agents) is preferred 

• A public GitHub or portfolio with at least one shipped project is a plus 

• Real estate, financial services, or enterprise IT exposure is an asset