Magical is building an agentic automation platform to bring AI to healthcare, aiming to automate repetitive and time-consuming administrative workflows like claims processing, prior authorizations, and eligibility checks, thereby enabling healthcare providers to focus more on patient care.
Requirements
- Have 4+ years of backend engineering experience, with strong proficiency in TypeScript/Node
- Deep understanding of distributed systems, databases, and asynchronous architectures
- Prior experience building platform or infrastructure systems at scale
- Experience integrating LLMs or AI models into production backend systems
- Background in real-time systems, event-driven architectures, or workflow engines
- Track record of building foundational systems that enabled teams to move faster
Responsibilities
- Design and build core platform systems for agent orchestration, memory, and state management
- Develop robust infrastructure for integrating and evaluating the latest AI models at scale
- Build APIs and abstractions that enable teams to quickly ship new agent capabilities
- Own critical backend services from architecture through deployment and monitoring
- Work directly with the founding team to shape the architecture of our agentic platform
- Build the foundational systems that power our AI agents—from agent orchestration and state management to model integration and evaluation pipelines
- Design how agents collaborate to solve complex healthcare workflows
Other
- Strong bias towards action and embody "show > tell"—you ship systems and iterate quickly
- High degree of agency: you effectively prioritize, unblock yourself, and drive projects forward without much outside input
- Value taking ownership and responsibility for your systems and infrastructure
- Located in SF or willing to relocate
