--- title: 'AI Forward Deployed Engineer at Magical' canonical: 'https://feeny.ai/job/ai-forward-deployed-engineer-magical-toronto-ttz37q4353j5' type: 'job' last_seen: '2026-09-17' --- # AI Forward Deployed Engineer at Magical - **Company:** Magical - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-11 - **Last confirmed live:** 2026-09-17 - **Apply:** https://jobs.ashbyhq.com/magical/55801f62-d42b-4c68-87ba-01c483ba4459 ## Job description Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care. The shift to agentic work is inevitable, and we’re leading it.. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI. We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is wide open. ## About the role - Design and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges. - Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements. - Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare. - Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem. ## About you - You have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical background - You’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive. - Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tell - Have a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input. - You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one. - Studied science or engineering in college (dropout welcome) - Located in SF/Toronto or willing to relocate ## What we offer - A chance to be an early team member at a fast-growing, ambitious company - The opportunity to push the boundaries of what’s possible with AI - A modern stack and the latest tools to do your best work - Competitive salary and meaningful equity - Unlimited PTO - Fun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica ## 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 - [Staff Software Engineer](https://feeny.ai/job/staff-software-engineer-magical-san-francisco-g4f0d25641ak) — San Francisco, CA - [Financial Analyst](https://feeny.ai/job/financial-analyst-magical-toronto-b4755k83x503) — Toronto, Canada - [AI Engineering Manager](https://feeny.ai/job/ai-engineering-manager-magical-toronto-q092p0tv3435) — Toronto, Canada - [Healthcare Account Executive, Full Cycle](https://feeny.ai/job/healthcare-account-executive-full-cycle-magical-san-francisco-95dj8fbwz2zt) — San Francisco, CA - [AI Forward Deployed Engineer](https://feeny.ai/job/ai-forward-deployed-engineer-quantifind-palo-alto-88etqftda26n) — Palo Alto, CA - [AI Forward Deployed Engineer](https://feeny.ai/job/ai-forward-deployed-engineer-regal-new-york-3vpb4y8d6veg) — New York, NY