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Magical is building an agentic AI platform that deploys AI employees into organizations to automate repetitive workflows and improve outcomes. The company is backed by top-tier investors including Greylock, Coatue, and Lightspeed, with founders and backers from OpenAI, Anthropic, and Hugging Face.
As an AI Forward Deployed Engineer, you will be a founding team member shaping how agentic AI is deployed in real-world environments. Your responsibilities include:
- Design and orchestrate agentic workflows by combining AI prompting with Magical's multi-agent platform 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
You'll work in an early-stage environment where you define processes rather than follow them, with direct impact on product direction and customer success. The role combines technical problem-solving with customer-facing collaboration and platform development.
REQUIREMENTS:
- 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical background
- Deeply curious about AI prompting, multi-agent systems, and automation (prior experience a plus, but fast learners with strong fundamentals will thrive)
- Strong bias towards action, willingness to do whatever it takes, and embody show > tell
- Strong sense of agency, effectively prioritizing and unblocking yourself without much outside input
- Thrive in early-stage chaos; excited to define the playbook rather than follow one
- Science or engineering college background (dropout welcome)
- Located in SF/Toronto or willing to relocate
