About Magical

Magical is an agentic automation platform bringing state-of-the-art AI to healthcare—delivering AI agents that actually work in production.

We're building "AI employees" that automate the repetitive, time-consuming workflows that slow teams down. Our focus is healthcare—a $4 trillion industry buried in administrative complexity—where we automate claims processing, prior authorizations, and eligibility checks, enabling providers to focus on patient care.

Our Traction

The shift to agentic automation in healthcare is inevitable, and we're leading it:

• Dramatic acceleration in revenue growth with customers expanding into new workflows before renewal

• 7-day proof-of-concepts that demonstrate real value fast, in an industry where months is the norm

• Self-healing automations with production-grade reliability at scale, where most competitors fail to launch

Unlike many AI companies making bold promises, we ship reliable solutions that deliver measurable results. We're backed by Greylock, Coatue, and Lightspeed with $41M raised. Our founder, Harpaul Sambhi, is a second-time founder who successfully sold his first company to LinkedIn.

About the Role

As a Senior Backend Engineer on the Agent Platform team, you'll build the foundational systems that power our AI agents—from agent orchestration and state management to model integration and evaluation pipelines. This is platform engineering: building the infrastructure that enables our team to ship reliable, production-grade agentic automation.

You'll work at the cutting edge of multi-agent systems, designing how agents collaborate to solve complex healthcare workflows. You'll own critical backend services end-to-end and build the verification systems and evaluations that guarantee our agents do the right thing every time.

This is a hybrid role with 2 days per week in our Toronto office.

In this role, you will

• Design and build core platform systems for agent orchestration, memory, and state management

• Develop robust infrastructure for integrating and evaluating the latest AI models at scale

• Build APIs and abstractions that enable teams to quickly ship new agent capabilities

• Own critical backend services from architecture through deployment and monitoring

• Work directly with the founding team to shape the architecture of our agentic platform

Your background looks something like this

• Have 4+ years of backend engineering experience, with strong proficiency in TypeScript/Node

• Deep understanding of distributed systems, databases, and asynchronous architectures

• Strong bias towards action and embody "show > tell"—you ship systems and iterate quickly

• High degree of agency: you effectively prioritize, unblock yourself, and drive projects forward without much outside input

• Value taking ownership and responsibility for your systems and infrastructure

• Studied Computer Science (or related field), or dropped out to build stuff

Even better

• Prior experience building platform or infrastructure systems at scale

• Experience integrating LLMs or AI models into production backend systems

• Background in real-time systems, event-driven architectures, or workflow engines

• Track record of building foundational systems that enabled teams to move faster

We're building the best self-serve agentic automation platform for the healthcare industry—and we're just getting started. Come join us.