Jobs at Magical

Join as a New Grad Software Engineer to build backend and full-stack systems that power production AI agents for healthcare automations. Work on orchestration, queues, run state, browser automation, model integrations, observability, testing, and reliability. Collaborate with cross-functional teams, own projects end-to-end, and improve runtime resilience for real-world healthcare workflows.

Build backend and full-stack systems powering AI agents for healthcare automations. Own implementation through deployment and monitoring, improve runtime reliability, design workflow/pathway tooling, integrate AI models and browser automation, and collaborate cross-functionally to ship robust production automations.

Build and own backend and full-stack systems powering agentic AI automations for healthcare. Design runtime reliability, queues, run-state management, testing, observability, and human-in-the-loop recovery. Translate ambiguous requirements into technical plans, ship features for automation creation, workflow testing, and production monitoring, and mentor teammates while owning services end-to-end.

Lead technical direction and implementation of production AI agent systems for healthcare. Build and maintain reliable automation runtimes, workflow engines, observability, model integrations, and human-in-the-loop recovery. Drive ambiguous backend/full‑stack projects, improve engineering practices, and mentor engineers while remaining hands‑on in code.

Lead technical execution for complex customer deployments of agentic AI: design workflows, write prompts, build integrations, debug systems, coach engineers, improve reliability, and translate customer needs into reusable platform improvements.

Lead a 12-person engineering team building and operating Magical's AI-native automation platform for healthcare. Own architecture, reliability, security, observability, incident response, hiring, and cross-functional delivery. Translate ambiguous product and customer problems into technical plans, improve platform scalability and deployability, and develop engineers while ensuring healthcare compliance and enterprise readiness.

Own day-to-day finance operations: expense analysis, ARR tracking and dashboards, invoicing and collections, spend management via Ramp, churn analysis, and support quarterly close with external accountant. Build and run financial processes and reporting to inform leadership decisions.

Manage and grow a team of forward-deployed engineers building and orchestrating agentic, multi-agent AI workflows. Serve as the technical liaison to customers and product/engineering, troubleshoot deployments and integrations, optimize performance in high-stakes domains like healthcare, and create tools, docs, and reference implementations to scale rollouts.

Lead a team of up to 12 engineers to build and operate critical parts of an AI-native healthcare automation platform. Drive technical execution, architecture, reliability, incident response, hiring, onboarding, and cross-functional execution while ensuring enterprise security, compliance, and scalable customer deployments.

As an AI Forward Deployed Engineer, you'll design AI workflows, act as a customer technical bridge, and optimize deployment performance. You'll thrive in a fast-paced, early-stage environment, shaping tools and documentation while ensuring system reliability.

The Deployment Strategist will manage customer implementations of AI solutions, aligning business goals with deployment plans, ensuring smooth project execution, and driving customer engagement for successful outcomes.