Magical is an agentic automation platform revolutionizing healthcare with state-of-the-art AI—delivering production-ready AI agents that drive real results at scale.
We believe the future of healthcare lies not in replacing people, but in multiplying their best qualities. Magical empowers healthcare organizations to scale their top experts across every workflow, ensuring more accurate, efficient, and compassionate operations.
We're building "AI employees" to automate repetitive, time-consuming tasks while keeping humans in control. Our focus is healthcare, a $4 trillion industry mired in administrative complexity. By automating processes like prior authorizations and medical coding, we enable providers to concentrate on patient care.
Customers rapidly expand from initial workflows to broader use cases after seeing reliable production results.
7-day proof-of-concepts deliver real value quickly—an industry where months are typical.
Self-healing automations maintain 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 Staff Software Engineer, you’ll shape the technical direction of Magical’s AI agent systems. You’ll drive product delivery, elevate engineering standards, mentor peers, and stay hands-on with the code.
Magical orchestrates complex, high-stakes healthcare workflows involving queues, run state, browser automation, model calls, system evaluations, observability, and human-in-the-loop recovery.
You'll transform messy customer inputs—SOPs, decision trees, portal behaviors, edge cases—into robust automations. This means building systems that draft workflows, test them, catch failures, suggest improvements, and trigger human intervention when necessary. You'll also focus on runtime reliability, workflow pathways, evaluations, and specialized agents for repeatable healthcare workflows.
This is a hybrid role based in our San Francisco office.
Set the technical direction for core agent systems—automation building, runtime reliability, evaluations, and observability
Lead ambiguous backend and full-stack projects that materially advance the product
Improve engineering practices through better architecture, faster feedback loops, stronger code reviews, and clear standards
Mentor teammates through pairing sessions, code reviews, and by modeling strong engineering practices
You have 8+ years of software development experience.
You’ve led complex backend or platform projects with real production impact
You turn ambiguous product goals into clear, executable technical direction
You bring strong systems design instincts: distributed systems, databases, APIs, queues, asynchronous workflows, and observability
You have experience integrating AI tools into your workflow and experiment with unconventional solutions
You elevate engineers around you while staying close to the code
You possess high agency, strong ownership, and excel at prioritizing what matters
Experience with platform, infrastructure, or workflow systems at scale
Experience building 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
Prior 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!
