Software Engineer

Magical • Toronto, ON

13d • Hybrid

About The Position

As a Software Engineer, you’ll build the systems powering Magical’s AI agents. This is a wide-funnel role, open to a range of experience levels and backgrounds. We’ll calibrate scope according to your skills, but we’re looking for people eager to own meaningful work, learn quickly, and help us ship robust products.
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.
You’ll help convert messy customer inputs—SOPs, decision trees, portal behaviors, edge cases—into reliable automations. You’ll design systems that draft workflows, test them, catch failures, recommend edits, and escalate to humans as needed. You’ll also work on runtime reliability, workflow pathways, evaluations, and specialized agents for repeatable healthcare tasks.

Requirements

• You’ve built backend or full-stack systems running in production
• You have strong fundamentals across databases, APIs, queues, async workflows, and observability
• You’re comfortable working in TypeScript/Node or a similar backend stack
• You’ve integrated AI tools into your developer workflow and enjoy experimenting with new approaches
• You favor action—shipping, learning, prioritizing, and iterating quickly
• You take ownership of your work and enjoy helping teammates grow

Nice To Haves

• Experience building platform, infrastructure, or workflow systems
• Experience creating agentic products or agent-based workflows
• Experience integrating LLMs or AI models into production backend systems
• Background in event-driven architectures, workflow engines, observability, or runtime reliability
• Experience in healthcare operations or revenue cycle management

Responsibilities

• Design and build backend and full-stack systems for AI agents and healthcare automations
• Own projects from implementation through deployment, monitoring, and iteration
• Build product and platform features for automation creation, workflow pathways, testing, editing, and production run reporting
• Improve reliability with better run state management, queues, error classification, alerts, and dashboards
• Collaborate with product, design, and deployment engineering to turn real healthcare workflows into robust automation systems

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed