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Magical is an agentic automation platform bringing AI to healthcare, delivering AI agents that work reliably in production. The company focuses on automating repetitive, high-stakes workflows in the $4 trillion healthcare industry—particularly prior authorizations and medical coding—enabling healthcare organizations to scale their best talent while keeping people in control.
As a Senior Engineer, you will build and own the systems powering Magical's AI agents. You'll set technical direction for projects, drive delivery, enhance team effectiveness, and take end-to-end ownership of core systems. The platform orchestrates long-running, high-stakes healthcare workflows, managing queues, run state, browser automation, model calls, evaluations, observability, and human-in-the-loop recovery.
Key responsibilities include:
- 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
- Help transform unstructured customer inputs—SOPs, decision trees, portal behaviors, and edge cases—into dependable automations
- Build systems that can draft, test, and enhance workflows, catch failures, recommend edits, and know when human intervention is needed
The company is backed by Greylock, Coatue, and Lightspeed, having raised $41M. Founder Harpaul Sambhi is a second-time founder who previously sold his first company to LinkedIn. Customers are expanding from initial workflows into broader use cases, with 7-day proof-of-concepts demonstrating real value quickly.
REQUIREMENTS:
- 5+ years of software development experience
- Built and owned backend systems deployed in production
- Ability to turn ambiguous product requirements into a clear technical plan
- Strong systems design skills: distributed systems, databases, APIs, queues, async workflows, and observability
- Integrated AI tools into development workflow and willing to experiment with new approaches
- Strong bias for action: ship, learn, prioritize ruthlessly, iterate quickly
- Full ownership of systems and enjoy mentoring teammates
PREFERRED:
- Experience building platform, infrastructure, or workflow systems at scale
- Built agentic products or agent-based workflows
- Integrated 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
