New Grad Software Engineer at magical About the role Magical is actively seeking up to five recent university graduates to become integral members of their engineering team based in Toronto. This position offers the unique opportunity to construct production-ready agentic artificial intelligence systems that tackle intricate healthcare operational challenges, going far beyond prototype demonstrations to address genuine industry problems. As a new graduate engineer, you will contribute meaningfully to building technology that automates complex healthcare workflows while learning from experienced technical leaders in a fast-paced startup environment.
Key facts Location: Toronto
Engagement: Full-time
Compensation: Not specified
Team: Engineering
Funding: $41M from Greylock, Coatue, and Lightspeed
What you'll do Architect and implement robust backend infrastructure and full-stack applications that power intelligent AI agents and healthcare automation platforms, ensuring scalability and maintainability from day one.
Develop comprehensive product features and platform capabilities focused on workflow pathway management, automated testing frameworks, real-time monitoring solutions, and production-level reporting dashboards.
Strengthen overall system dependability by engineering sophisticated run state management, implementing efficient queue processing mechanisms, building intelligent error classification systems, and creating detailed observability dashboards for operational insights.
Collaborate closely with cross-functional partners including product managers, designers, and deployment specialists to translate healthcare standard operating procedures and regulatory requirements into functional automated solutions.
Own complete project lifecycles from initial concept and implementation through production deployment, ongoing monitoring, and continuous iteration based on real-world performance data.
Contribute to the development of internal tooling that accelerates the team's ability to build, test, and deploy AI-powered healthcare solutions more efficiently.
Participate in code reviews and technical discussions to maintain high engineering standards while learning best practices from senior team members.
Help establish and refine engineering processes that support rapid iteration while maintaining the reliability required for healthcare applications.
Investigate and resolve production issues by analyzing system behavior, identifying root causes,



and implementing permanent fixes that prevent recurrence.
Document technical decisions, system architectures, and operational procedures to support team knowledge sharing and onboarding of future engineers.
Engage with healthcare domain experts to deeply understand the operational challenges that the platform aims to solve, ensuring technical solutions align with real user needs.
Contribute to the continuous improvement of AI agent capabilities by analyzing performance metrics and identifying opportunities for enhancement.
Requirements Recently completed or soon completing an undergraduate or graduate degree in Computer Science, Software Engineering, Mathematics, or a closely related technical discipline.
Demonstrated mastery of core software engineering principles including data structures, algorithms, system design fundamentals, and clean coding practices.
Proven hands-on experience through meaningful internships at technology companies, academic research projects, contributions to open-source software communities, involvement with early-stage startups, or development of production-grade software applications.
Comfortable operating in ambiguous problem spaces where requirements may evolve, demonstrating the ability to take ownership and drive progress without requiring constant supervision or detailed instructions.
Genuine enthusiasm for leveraging modern AI-powered development tools to enhance coding productivity, streamline debugging processes, and accelerate overall software development workflows.
Committed to working in office at the Toronto office location, embracing the collaborative benefits of in-person teamwork and mentorship opportunities.
Strong communication skills enabling effective collaboration with both technical and non-technical team members across the organization.
Growth mindset with eagerness to learn new technologies, accept constructive feedback, and continuously improve technical and professional capabilities.
Nice to have Practical experience working with TypeScript, Node.js runtime environments, React frontend frameworks,



or Python programming language in project or skilled settings.
Familiarity with database technologies, RESTful API design and implementation, message queue systems, asynchronous programming patterns, or distributed workflow orchestration.
Previous involvement in building developer-focused tools, automation solutions, or products that incorporate artificial intelligence capabilities.
Exposure to large language models, autonomous agent architectures, browser automation technologies, or workflows powered by machine learning models.
Track record of thriving in high-intensity environments such as early-stage startups, competitive hackathon events, or demanding research laboratory settings.
Understanding of healthcare industry dynamics, regulatory considerations, or experience working with healthcare-related data and systems.
Skills & tools TypeScript for type-safe JavaScript development
Node.js for server-side application development
React for building interactive user interfaces
Python for scripting and AI/ML integration
Relational and non-relational database systems
RESTful API design and implementation
Message queue technologies for async processing
Distributed systems and workflow orchestration
Large language model integration and prompt engineering
Browser automation frameworks and techniques
Monitoring and observability tooling
Version control with Git
Practical notes This position follows a hybrid work arrangement requiring regular presence at the Toronto office location, fostering collaboration and mentorship opportunities with the broader engineering team.
Magical has secured $41 million in venture capital funding from prestigious investors including Greylock Partners, Coatue Management, and Lightspeed Venture Partners, providing strong financial backing for continued growth.
The company emphasizes high-growth potential for new graduates, offering direct mentorship from senior technical leadership who are invested in developing the next generation of engineering talent.
You will work on technology that has meaningful real-world impact in the healthcare sector, automating complex operational workflows that improve efficiency and outcomes.
The engineering culture values ownership, initiative, and continuous learning, making this an ideal environment for ambitious new graduates seeking accelerated professional development.

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📌 New Grad Software Engineer (Ontario)
🏢 Magical
📍 Ontario