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Magical
New Graduate Software EngineerMagical • Toronto, ON, Canada
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New Graduate Software Engineer

New Graduate Software Engineer

Magical • Toronto, ON, Canada
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Responsibilities

  • 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, elevate 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

Qualifications

  • 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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