AI Forward Deployed Engineer

Magical; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Early team member

Push AI boundaries

Modern tech stack

Competitive salary + equity

Unlimited PTO

Offsite team events

Job summary

Magical is seeking a skilled engineer to help design agentic workflows that combine AI prompting with our multi-agent platform. You’ll bridge customers and engineering to feed real-world feedback into platform improvements.

You’ll diagnose deployments and performance issues, ensure reliability in high-stakes environments, and build tools and docs to accelerate future rollouts at Magical.

Qualifications

• 3+ years of engineering, QA engineering, solutions engineering, or similar technical background.
• Deep interest in AI prompting, multi-agent systems, and automation; fast learner with strong fundamentals.
• Bias toward action and willingness to do whatever it takes; show > tell.
• Ability to operate effectively in early-stage chaotic environments and define playbooks.

Responsibilities

• Design and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform.
• Act as a technical bridge between customers and product/engineering teams to translate feedback into improvements.
• Diagnose and resolve issues across deployments, integrations, and performance optimizations for reliability.
• Build tools, documentation, and reference implementations to accelerate future customer rollouts.

Skills

Engineering background

AI prompting

Multi-agent systems

Automation

Action-oriented

Education

Science or Engineering studies

Job description

Our agentic AI platform brings “AI employees” into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.

The shift to agentic work is inevitable, and we’re leading it.. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.

We’re backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is wide open.

About the role

• 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.

About you

• 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

What we offer

• A chance to be an early team member at a fast-growing, ambitious company

• The opportunity to push the boundaries of what’s possible with AI

• A modern stack and the latest tools to do your best work

• Competitive salary and meaningful equity

• Unlimited PTO

• Fun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica