AI Forward Deployed Engineer
- Remote, Canada
Remote
Full-time
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Job details
- Job type
- Full-time
- Workplace
- Remote
- Experience
- You have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical background
- Posting language
- English
- Posted
Original 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
More about this job
Responsibilities
Design and orchestrate agentic workflows by combining AI prompting with the company's multi-agent platform to solve customer-specific challenges. Act as a technical bridge between customers and internal teams to capture feedback and ensure reliability in high-stakes environments.
Requirements
Requires 3+ years of experience in engineering, QA, or solutions engineering with a strong curiosity for AI and automation. Candidates must possess a bias for action, strong agency, and the ability to thrive in an early-stage, fast-paced environment.
Skills
- AI Prompting
- Multi-agent systems
- Automation
- Solutions engineering
- QA engineering
- Technical support
- System integration
- Performance optimization
- Documentation
- Workflow design
- Customer success
- Technical communication
Benefits
- Competitive salary
- Meaningful equity
- Unlimited PTO
- Team offsites
Remote locations
- Toronto, Ontario, Canada
- United States
Remote locations (standardized)
- Toronto, Ontario, Canada
- United States
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Customer Service & Support
Keywords
- AI
- Agentic AI
- Multi-agent systems
- Prompting
- Automation
- Solutions Engineering
- QA Engineering
- Workflow Orchestration
- System Integration
- Performance Optimization
- Healthcare
- Technical Documentation
- Early-stage startup
- Engineering
- Software Development