New Grad Software Engineer

About Magical

Magical is creating agentic artificial intelligence systems focused on healthcare operations, delivering real-world impacts that improve patient care and provider efficiency. Our AI agents assist with critical tasks such as accelerating care for suicidal veterans, identifying potentially undiagnosed cancers, optimizing patient scheduling, and facilitating provider reimbursements. Our solutions operate reliably in production environments involving complex healthcare workflows, documents, portals, and human-in-the-loop processes.

Role Overview

As a New Grad Software Engineer at Magical based in Toronto, you will contribute immediately to developing and maintaining AI agent systems integral to healthcare automation. This position offers genuine ownership from day one, working on production-grade software that influences real healthcare delivery and operations. You will tackle ambiguous, challenging technical problems alongside expert engineers and mentors who provide strong support and guidance.

Key Responsibilities

• Design and implement backend and full-stack components for AI-powered healthcare automations.
• Develop features enabling workflow creation, testing, monitoring, editing, and comprehensive production reporting.
• Enhance system reliability via effective queue management, error handling, alerting, dashboards, and observability tooling.
• Collaborate with cross-functional teams including product, design, deployment, and customer success to translate healthcare workflows into automated systems.
• Own projects end-to-end, from conception through deployment and beyond to continuous improvement based on customer feedback.
• Learn and grow professionally under mentorship from seasoned technical leaders.

Candidate Profile

• Recent graduate or soon-to-be graduate with a degree in Computer Science, Engineering, Mathematics, or closely related disciplines.
• Strong foundation in software engineering principles, demonstrated through meaningful projects or experience.
• Comfortable navigating ambiguity and independently driving progress without detailed instructions.
• Proactive self-starter eager to take ownership and make impactful contributions early in career.
• Interest and enthusiasm in artificial intelligence technologies and their practical applications.
• Willingness to work on-site at Magical’s Toronto office and engage with a high-performing team.

Preferred Qualifications

• Experience with TypeScript, Node.js, React, Python, or other backend/full-stack development technologies.
• Familiarity with databases, APIs, asynchronous systems, message queues, or distributed workflow architectures.
• Background in side projects, developer tools, automation initiatives, or AI-enhanced products.
• Exposure to large language models (LLMs), agent frameworks, browser automation, evaluation systems, or model-driven workflows.
• Experience working in dynamic environments such as startups, research labs, internships, or hackathons requiring rapid learning.

What We Offer

• Meaningful responsibility and project ownership immediately upon joining.
• Mentorship and guidance from experienced senior engineers and technical leaders.
• Continuous training, constructive feedback, and coaching opportunities to accelerate your professional growth.
• Hands-on experience with AI systems deployed in active healthcare settings impacting real users.
• A high-growth workplace emphasizing learning and impact over years of experience.

Additional Information

Magical is venture-backed with $41 million raised from top investors like Greylock, Coatue, and Lightspeed. Our leadership team includes entrepreneurs with successful exits, including to LinkedIn. This role is based on-site at our Toronto office, combining the collaborative environment with real-world production challenges in healthcare AI.