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 robust 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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📌 New Graduate Software Engineer (Ontario)
🏢 Magical
📍 Ontario