Venture outside the ordinary - TMX Careers
The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.
Ready to be part of the action?
As an AI Engineering Intern , you will be embedded in a fast-paced, startup-minded environment focused on rapid software development and data analytics as part of the AI Team. Acting as a core contributor, you will design, build, and deploy intelligent, scalable software solutions in Python, TypeScript, and Java. Leveraging modern AI coding assistants and core Large Language Model (LLM) principles, you will orchestrate data workflows and deliver high-impact features that directly advance our primary business initiatives.
This role reports to Head, Client Technology Delivery, Shorcan Systems
Job Location: Hybrid (2–3 days/week in the office) - based in Toronto, ON.
Key Accountabilities
Design & Build AI-Powered Solutions: Architect, develop, and deploy end-to-end software features with strong AI core functionality using Python, TypeScript, and Java.
Orchestrate Data Workflows: Leverage the core tenets of Large Language Models (LLMs) to build and optimize intelligent data pipelines and analytical workflows that support key business initiatives.
Accelerate Rapid Prototyping: Utilize modern AI coding assistants (such as Claude, Codex, and GitHub Copilot) to iterate quickly, troubleshoot complex technical challenges, and ship production-ready code.
Collaborate Across Teams: Operate autonomously within a high-trust engineering team, proactively identifying bottlenecks, proposing solutions, and driving projects from concept to completion without micromanagement.
Drive Quality & Documentation: Participate in rigorous testing, quality assurance, and technical documentation to ensure scalable, maintainable software delivery.
Must Have(s)
Currently enrolled in a 3rd or 4th year Bachelor’s program (or Master’s program) in Computer Science, Software Engineering, Data Analytics, or a related technical field
Strong hands-on proficiency in Python , TypeScript , and Java .
Practical experience or high familiarity with modern AI coding assistants (e.g., Claude, Codex, Copilot).
Solid foundational understanding of the core tenets of Large Language Models (LLMs).
Demonstrated passion for programming and software engineering—evidenced through extracurricular involvement such as hackathons, coding contests, computer science clubs, or personal projects (e.g., building games or applications).
Self-starter mentality with strong analytical and troubleshooting skills, thriving in a fast-paced, autonomous environment.
Based within a commutable distance to our Toronto office to support a hybrid work schedule.
Nice to Have(s)
Experience working directly with Anthropic or OpenAI APIs, as well as prompt engineering techniques.
Familiarity with data analytics tools or data visualization libraries.
Notes:
4 month Co-op Internship: January 11, 2027 to April 30, 2027
In order to be considered for the position, you are required to submit your Knockri Assessment
Salary Range: $25/hour - $28/hour CAD. Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.
The recruiting efforts for this role are intended to fill a vacant position.
For this role AI-assisted tools…