Senior Software Engineer

Magical • San Francisco, CA

13d • Hybrid

About The Position

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.

Requirements

• 5+ years of software development experience
• Built and owned backend systems deployed in production
• Can 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 your development workflow and are willing to experiment with new approaches
• Strong bias for action—you ship, learn, prioritize ruthlessly, and iterate quickly
• Take full ownership of your systems and enjoy mentoring teammates

Nice To Haves

• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed