---
title: 'Senior Software Engineer at Magical'
canonical: 'https://feeny.ai/job/senior-software-engineer-magical-toronto-1seqzyfexjp1'
type: 'job'
last_seen: '2026-10-15'
---

# Senior Software Engineer at Magical

- **Company:** Magical
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-18
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/magical/bde8e965-7a97-4662-901c-336ffc8e8ff5

## Job description

## 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 believe the future of healthcare isn't about replacing people, but about multiplying the best of them. Magical empowers healthcare organizations to scale their top talent across every workflow, enabling operations to run with greater accuracy, efficiency, and care.

We're building “AI employees” that automate repetitive, time-consuming workflows while keeping people in control. Our focus is the $4 trillion healthcare industry, burdened with administrative complexity. By automating critical processes like prior authorizations and medical coding, we help providers dedicate more time to patient care.

Our Traction

- Customers are expanding from initial workflows into broader use cases as they see reliable results in production.
- 7-day proof-of-concepts demonstrate real value quickly, in an industry where months is the norm.
- Our self-healing automations deliver production-grade reliability at scale.

We're backed by Greylock, Coatue, and Lightspeed, having raised $41M. Our founder, Harpaul Sambhi, is a second-time founder who previously sold his first company to LinkedIn.

## About the Role

As a Senior Engineer at Magical, you'll build and own the systems powering our AI agents. You'll set technical direction for projects, drive delivery, enhance your team’s effectiveness, and take end-to-end ownership of core systems.

Our platform orchestrates long-running, high-stakes healthcare workflows—managing queues, run state, browser automation, model calls, evaluations, observability, and human-in-the-loop recovery.

You'll help transform unstructured customer inputs—SOPs, decision trees, portal behaviors, and edge cases—into dependable automations. You’ll build systems that can draft, test, and enhance workflows, catch failures, recommend edits, and know when human intervention is needed. You'll also contribute to improving runtime reliability, workflow pathways, evaluations, and specialized agents for critical healthcare tasks.

This is a hybrid role based in our Toronto office.

## What You’ll Do

- Design and build backend and full-stack systems for AI agents and healthcare automations
- Set technical direction within a project or product area, especially when requirements are ambiguous
- Build features for automation creation, workflow pathways, testing, editing, and production run reporting
- Improve runtime reliability through systems for run state management, queues, idempotency, error classification, alerts, and dashboards
- Own critical services from architecture through deployment, monitoring, and iteration

You May Be a Fit If

- You have 5+ years of software development experience.
- You’ve built and owned backend systems deployed in production
- You can turn ambiguous product requirements into a clear technical plan
- You have strong systems design skills—distributed systems, databases, APIs, queues, async workflows, and observability
- You’ve integrated AI tools into your development workflow and are willing to experiment with new approaches
- You have a strong bias for action—you ship, learn, prioritize ruthlessly, and iterate quickly
- You take full ownership of your systems and enjoy mentoring teammates

Even Better If

- You have experience building platform, infrastructure, or workflow systems at scale
- You have built agentic products or agent-based workflows
- You’ve integrated LLMs or AI models into production backend systems
- You have a background in event-driven architectures, workflow engines, observability, or runtime reliability
- You have 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!

## About Magical

## Company Overview
- **One-liner**: Magical deploys specialized AI agents that automate real operational workflows across healthcare systems, from patient access to revenue cycle management.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Harpaul Sambhi (CEO & Cofounder), Prashant Vishwanathan (Cofounder & Engineering Manager)

## Core Business
- **Primary industry/industries**: Healthcare Operations Automation, AI Agents, Workflow Automation
- **Target customers**: B2B, primarily healthcare providers (health systems, clinics) and payers
- **Mission or purpose statement**: "Freeing the global workforce of mundane, soul-crushing workflows. Automagically." The company builds AI agents to automate the operational workflows healthcare organizations run every day.

## Products & Services
- **Prior Authorization Agent**: AI agent that automates prior authorization workflows for health providers, achieving 92% accuracy with a 4-week deployment timeline.
- **Referrals Agent**: Automates the referral management process, achieving 94% accuracy with a 5-week deployment.
- **Benefits Verification Agent**: Verifies patient benefits automatically, achieving 91% accuracy with a 6-week deployment.
- **Records Request Agent**: Handles medical records requests, achieving 97% accuracy with a 5-week deployment.
- **Revenue Integrity Agent**: Ensures revenue cycle accuracy, achieving 93% accuracy with a 4-week deployment.
- **Payment Posting Agent**: Automates payment posting tasks, achieving 99% accuracy with a 6-week deployment.

All agents are pre-trained, deploy in weeks, operate across browser and desktop applications, and are designed to be interoperable with existing healthcare systems. Magical offers both a platform for teams to build their own agents and a managed service where the Magical team deploys agents on behalf of clients.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of $41.0M (Seed: $6M in 2020, Series A: $35M in June 2022)
- **Notable Investors/Partners**: Bain Capital Ventures (Partner on cap table), Coatue (General Partner on cap table), and individual investors including the ex-President of Atlassian (Jay Simons) and the ex-CTO of Atlassian (Sri Viswanath), and the Head of Product at DeepMind (Google). Partners include experts who help identify high-impact workflows.
- **Growth Signals**: 
    - Headcount grew 52.7% year-over-year to approximately 60 employees (as of mid-2026).
    - Named to Becker’s 2026 "Top Revenue Cycle Management Companies to Know" list (April 2026).
    - Received an A+ "Likelihood to Recommend" rating in the KLAS Emerging Company Spotlight Report (June 2026).
    - Headspace (the mental health platform) is a notable customer case study, using Magical to automate complex eligibility workflows.
    - Reported annual revenue of $1.3M (likely from an estimate by third-party data aggregators, not official company disclosure).

## Competitive Advantages
- **Interoperability**: Agents operate across browser and desktop applications and connect to hundreds of healthcare systems without requiring native integrations.
- **Speed of Deployment**: Production agents deploy in weeks, reaching over 90% coverage in the first six weeks with over 95% accuracy on successful automations.
- **Multi-Agent Framework**: A reliable system where AI judges place guardrails around agent execution to ensure accuracy and safe decision-making, with specialized agents coordinating through a multi-agent framework.
- **Scalability**: Hundreds of thousands of agents can run concurrently across healthcare operations, scaling across departments without rebuilding workflows.

## Strategic Focus
- **Healthcare Specialization**: Deepening focus on healthcare operations (patient access, revenue cycle, prior authorization, referrals, benefits verification) rather than general-purpose automation.
- **Expanding Agent Portfolio**: Continuing to build and launch new pre-trained agents for specific healthcare workflows.
- **Managed Service Model**: Offering both a self-service platform and a managed service deployment model to meet different customer needs and accelerate adoption.
- **Partnership Ecosystem**: Building a partner network to help identify and prioritize high-impact workflows for automation.

## Why Work Here
- **Culture**: Described as "MagicMakers," the team is focused on freeing workers from mundane workflows. The company emphasizes a mission-driven environment with a focus on healthcare impact.
- **Remote/Hybrid/Office Policy**: Hybrid. Employees work from physical offices (San Francisco HQ) and remote locations. The company has offices in San Francisco (HQ), Toronto (Canada), New York City, and Sacramento. Built In lists roles as both "Hybrid" and "Remote USA."
- **Notable Perks & Engineering Culture**: The engineering team is strong, with talent sourced from companies like Mozilla, Apple, Atlassian, and MIT Media Lab. The company has a technical team of ~24 people (21% of workforce). Active job postings include roles like AI Deployment Engineer, Senior Software Engineer (Product), and Staff/Senior Product Designer. The company values "speed" and "reliability" in its product, which likely translates to a fast-paced, engineering-driven culture.
- **Growth Trajectory**: With 52.7% headcount growth YoY, recent industry recognition (Becker's, KLAS), and a clear product-market fit in healthcare, the company is in a strong growth phase, offering opportunities for career advancement.

## Sources
1. [getmagical.com](https://www.getmagical.com/)
2. [getmagical.com/about-us](https://www.getmagical.com/about-us)
3. [linkedin.com/company/getmagical](https://www.linkedin.com/company/getmagical)
4. [builtin.com/company/magical](https://builtin.com/company/magical)
5. [cbinsights.com](https://www.cbinsights.com/company/magical-1)
6. [jobs.ashbyhq.com/magical](https://jobs.ashbyhq.com/magical)

## Other roles at Magical

- [Tech Lead - Forward Deployed Engineering](https://feeny.ai/job/tech-lead-forward-deployed-engineering-magical-toronto-ahsy8q8mdcav) — Toronto, Canada
- [Senior AI Forward Deployed Engineer](https://feeny.ai/job/senior-ai-forward-deployed-engineer-magical-toronto-ttz37q4353j5) — Toronto, Canada
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-velora-bc-ab-on-yqr42r2rhmba) — Bc Ab on, Canada
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-anduril-industries-costa-mesa-y6hx4wvb6t2e) — Costa Mesa, CA
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-yugabytedb-bengaluru-has2rag27hsf) — Bengaluru, India
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-lancedb-americas-apac-3z7keg1bwak1) — Americas / APAC
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-warner-music-group-ontario-qh19s9zyjv43) — Ontario, Canada
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-veeam-software-bengaluru-1nwk9e6j8f22) — Bengaluru, India
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-hypebeast-hong-kong-bzhcpzsxzwm7) — Hong Kong
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-warner-music-group-bengaluru-zpgk9829f7vt) — Bengaluru, India