Software Engineering

New Graduate Software Engineer

at Magical

📍 Location Toronto, Ontario, Canada
📋 Details Full-time
📅 Posted

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About the Role

Build backend and full-stack AI automation features

About Magical

AI healthcare automation startup in Toronto

Full Description

  • As a New Grad Software Engineer, you will help build the systems that power Magical’s AI agents
  • Under the hood, Magical orchestrates long-running, high-stakes healthcare workflows involving queues, run state, browser automation, model calls, evaluations, observability, and human-in-the-loop recovery
  • These systems need to be reliable, debuggable, and resilient because they operate in messy real-world environments
  • A workflow might depend on a payer portal changing, a document being malformed, a model output needing review, a human needing to step in, or an edge case no one has seen before
  • You will help turn messy customer inputs — SOPs, decision trees, payer rules, portal behavior, operational know-how, and edge cases — into reliable automations
  • You may work on systems that draft workflows, test automations, catch failures, recommend fixes, escalate to humans, improve runtime reliability, or make our agents easier to build and deploy
  • The problems will not always be well-defined
  • That is part of the job
  • 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- You have strong software engineering fundamentals and are excited to keep improving them
  • You move quickly, learn quickly, and care about shipping reliable work
  • You are graduating soon or recently graduated with a degree in Computer Science, Engineering, Math, or a related technical field
  • You are excited about AI and already use AI tools to improve how you code, debug, learn, or build
  • You want to work in person with a high-caliber team in Toronto
  • You have built meaningful projects, internships, research systems, open-source work, startups, or production software
  • You are comfortable with ambiguity and can make progress even when the answer is not obvious
  • You are a self-starter who takes ownership instead of waiting to be handed every next step
  • You have experimented with LLMs, agents, browser automation, evaluations, or model-powered workflows
  • You have worked in a startup, research lab, internship, hackathon team, or environment where you had to figure things out quickly
  • You have built side projects, developer tools, automation projects, or AI-powered products
  • You have worked with databases, APIs, queues, async systems, or distributed workflows
  • You have experience with TypeScript, Node, React, Python, or similar backend/full-stack technologies

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