Magical is an agentic automation platform transforming healthcare with state-of-the-art AI—delivering AI agents that work in real production environments.
We believe the future of healthcare will be shaped not by replacing people, but by amplifying their talents. Magical empowers healthcare organizations to scale their top experts across every workflow, driving greater accuracy, efficiency, and care throughout operations.
Our "AI employees" automate repetitive, time-consuming workflows while keeping people in control. We focus on healthcare—a $4 trillion industry overwhelmed by administrative complexity—automating critical processes like prior authorizations and medical coding, so providers can focus more on patient care.
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, where months are typical in the industry
Our self-healing automations deliver production-grade reliability at scale
Magical is backed by Greylock, Coatue, and Lightspeed, with $41M raised. Our founder, Harpaul Sambhi, previously sold his first company to LinkedIn.
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.
This is a hybrid role based in our Toronto office.
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
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
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
We’re building the best self-serve agentic automation platform for healthcare, and we’re just getting started. Come join us.
