Design and orchestrate agentic workflows using AI prompting and multi-agent systems.
•Design and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.
•Key Responsibilities Design and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.
•Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.
•Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.
•Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.
•Requirements You have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical background You’re deeply curious about AI prompting, multi-agent systems, and automation.
•Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.
•Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tell Have a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.
•You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.
•Studied science or engineering in college (dropout welcome) Located in SF/Toronto or willing to relocate