As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform — an intelligent, adaptive system designed to automate workflows and power smarter decision-making. You’ll collaborate with engineers, product managers, and designers to develop clean, efficient code that drives both reliability and innovation.
Your work will span frontend and backend development, from fixing bugs and resolving integration challenges to developing new features and improving platform performance. You’ll also have the opportunity to work directly with AI and agentic solutions, leveraging these tools to optimize development, accelerate delivery, and shape how intelligent systems interact with one another.
This role is ideal for someone who’s passionate about modern software engineering, eager to deepen their technical foundation, and excited to contribute to a platform at the frontier of AI and automation.
Participating Universities: This opportunity is currently open to anyone that is currently enrolled at the U of Alberta, U of Calgary, U Waterloo, U of Toronto. As this is a Mitacs funded opportunity, please reach out if you have questions regarding your eligibility.
What you'll do:
- Develop and maintain high-quality, well-documented code across both frontend and backend systems.
- Troubleshoot and resolve bugs, integration issues, and performance bottlenecks in production and staging environments.
- Implement new features and enhancements, particularly those that improve dashboard usability and data visibility.
- Collaborate closely with cross-functional teams to translate technical requirements into scalable solutions.
- Leverage AI and agentic development tools to automate testing, improve code efficiency, and streamline CI/CD pipelines.
- Contribute to technical documentation, code reviews, and agile workflows to ensure strong engineering practices and maintainable codebases.
- Stay current on software trends, frameworks, and architectures — bringing new ideas to strengthen our agentic infrastructure.
What you bring:
- Progress toward a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Proficiency in one or more modern programming languages such as Python, JavaScript, TypeScript, or Node.js.
- Solid understanding of the Software Development Life Cycle (SDLC) and agile methodologies.
- Familiarity with frontend frameworks (React, Vue) or backend technologies (APIs, databases, microservices, or cloud infrastructure).
- Exposure to machine learning concepts or experience working with agentic systems is an asset.
- Strong problem-solving, debugging, and analytical skills, with a focus on clean, maintainable code.
- A collaborative mindset and the ability to learn quickly in a dynamic, evolving technical environment.
