New Grad Software Engineer

Magical • Toronto, ON

3d • Hybrid

About The Position

Magical is building agentic AI for healthcare operations. Our agents have helped suicidal veterans get matched to care faster, identified patients who may have undiagnosed cancer, scheduled patients who otherwise would have waited, and helped providers get paid for the care they deliver. The work is technical, messy, and complex, but the impact is real. Our agents operate across real healthcare environments: portals, documents, browser workflows, queues, model calls, human review, edge cases, and exceptions. We are building systems that need to work reliably in production. Magical is backed by Greylock, Coatue, and Lightspeed, with $41M raised. Our executives have sold businesses to LinkedIn and have previously sold billions of dollars worth of companies.

Requirements

• Graduating soon or recently graduated with a degree in Computer Science, Engineering, Math, or a related technical field
• Strong software engineering fundamentals and are excited to keep improving them
• Have built meaningful projects, internships, research systems, open-source work, startups, or production software
• Comfortable with ambiguity and can make progress even when the answer is not obvious
• A self-starter who takes ownership instead of waiting to be handed every next step
• Move quickly, learn quickly, and care about shipping reliable work
• Excited about AI and already use AI tools to improve how you code, debug, learn, or build
• Want to work in person with a high-caliber team in Toronto

Nice To Haves

• Experience with TypeScript, Node, React, Python, or similar backend/full-stack technologies
• Worked with databases, APIs, queues, async systems, or distributed workflows
• Built side projects, developer tools, automation projects, or AI-powered products
• Experimented with LLMs, agents, browser automation, evaluations, or model-powered workflows
• Worked in a startup, research lab, internship, hackathon team, or environment where you had to figure things out quickly

Responsibilities

• Design and build backend and full-stack systems for AI agents and healthcare automations
• Build product and platform features for automation creation, workflow pathways, testing, editing, monitoring, and production reporting
• Improve reliability through better run state management, queues, error classification, alerts, dashboards, and observability
• Collaborate with product, design, deployment engineering, and customer-facing teams to turn real healthcare workflows into production-grade automation systems
• Own projects from implementation through deployment, monitoring, iteration, and customer impact
• Learn from senior engineers while taking on meaningful responsibility early

Benefits

• Real ownership from day one
• Mentorship from strong senior technical leaders
• Training, feedback, and coaching to help you grow quickly
• Exposure to production AI systems, real customers, and complex healthcare workflows
• A chance to build technology that directly improves healthcare operations and patient access
• A high-growth environment where slope matters more than years of experience

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level