Magical

Lead technical direction and backend projects focusing on AI agent systems, automation, reliability, and mentoring. | 8+ years experience with distributed systems and backend projects; preferred experience with LLMs, agentic workflows, and event-driven architectures. | About Magical 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. Our Momentum 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. About the Role 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. What You’ll Do 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 May Be a Fit If 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 Even Better 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!

Design and build backend and full-stack systems with end-to-end ownership including architecture and runtime reliability. | 5+ years experience in backend and distributed systems with AI integration experience preferred. | 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 San Francisco 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!