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About the Role

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.

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.

Requirements

Experience building backend or full-stack systems running in production.
Strong fundamentals across databases, APIs, queues, async workflows, and observability.
Comfortable working in TypeScript/Node or a similar backend stack.
Experience integrating AI tools into developer workflows and experimenting with new approaches.
Ability to favor action: shipping, learning, prioritizing, and iterating quickly.
Takes ownership of work and enjoys helping teammates grow.
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.

Location

Toronto office

Work Type

Hybrid

Experience Level

Open to a range of experience levels

About the Company

Magical is an agentic automation platform transforming healthcare with state-of-the-art AI, delivering AI agents for real production environments.
The company aims to amplify healthcare professionals' talents, scaling top experts across workflows to drive greater accuracy, efficiency, and care.
Magical's AI employees automate repetitive, time-consuming healthcare workflows, focusing on administrative complexity like prior authorizations and medical coding.
Customers are expanding from initial workflows into broader use cases after seeing reliable production results.
7-day proof-of-concept projects demonstrate real value quickly.
Self-healing automations deliver production-grade reliability at scale.
Magical is backed by Greylock, Coatue, and Lightspeed, with $41M raised.
The founder, Harpaul Sambhi, previously sold his first company to LinkedIn.