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About the Role

Magical is seeking a highly senior, hands-on Tech Lead for the Forward Deployed Engineering team to tackle complex customer and platform challenges. This role involves providing technical leadership, coaching junior engineers, and driving solutions in ambiguous situations.

Responsibilities

Take the lead on Magical’s most complex, high-risk, or technically ambiguous customer deployments.
Get hands-on in the work—designing agentic workflows, writing and improving prompts, building integrations, debugging failures, analyzing system behavior, and shipping production solutions.
Diagnose difficult issues across customer environments, integrations, agent performance, data quality, and platform behavior.
Provide technical leadership across multiple customers and teams rather than owning only a single project or account.
Review solution designs, implementation plans, testing strategies, and production-readiness for complex workflows.
Coach FDEs through technical problems and help junior team members develop stronger problem-solving, debugging, and systems-thinking skills.
Set an example for technical ownership, execution quality, urgency, and customer focus.
Identify risks, architectural weaknesses, and reliability issues before they become customer-facing problems.
Partner with Product and Engineering to distinguish between deployment-specific issues and platform-level gaps.
Translate recurring customer challenges into reusable platform capabilities, internal tools, reference implementations, and technical standards.
Improve the team’s practices for testing, observability, debugging, incident response, documentation, and release management.
Help define what excellent Forward Deployed Engineering looks like at Magical.

Requirements

Significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role.
Operated as a technical lead or senior individual contributor on complex, customer-facing software deployments.
Comfortable moving across the full problem space—from understanding a customer workflow to debugging an integration, improving agent behavior, and shipping a reliable production solution.
Exceptional problem solver who can bring structure to unclear situations and make progress without complete information.
Strong technical judgment and know when to fix a local implementation, change the architecture, or escalate a platform limitation.
Willing to personally take on difficult implementation and debugging work.
Able to influence and lead other engineers without relying on formal management authority.
Strong coach who can explain not only what should change, but how to think about the problem differently.
Communicate clearly with engineers, deployment teams, and customer stakeholders, especially when a project is under pressure.
Care deeply about production reliability, testing, observability, and solving the underlying cause of a problem.
Deeply curious about AI agents, prompting, automation, and multi-agent systems.
Strong bias toward action and consistently demonstrate “show, don’t tell.”
High agency and can prioritize, make decisions, and unblock yourself and others without waiting for perfect information.
Energized by early-stage environments where the technical playbook is still being created.
Expected to get into the details, work directly in the implementation, and stay close to a problem until it is solved.
May move between customers, technical domains, and urgent priorities quickly.
Excited by the opportunity to step into situations with intense work, incomplete information, and problems that do not have an obvious owner or solution, create clarity, and lead from the front.

Skills

Agentic AI platform development
AI employee deployment
Healthcare AI solutions
Customer workflow analysis
AI agent deployment
Prompt engineering
Integration building
System debugging
Production solution shipping
Technical leadership
Problem-solving
Systems thinking
Technical judgment
Production reliability
Testing
Observability
Incident response
Release management
AI agents
Prompting
Automation
Multi-agent systems

Location

Toronto

Work Type

Full-time

Experience Level

Senior Individual Contributor
Technical Lead

Education Level

A science, engineering, or similarly technical educational background is helpful

Benefits

Competitive compensation
Meaningful equity
Unlimited PTO
Team offsites

About the Company

Magical is building an agentic AI platform that brings “AI employees” into the workplace to execute repetitive, operationally critical work.
Our agents help organizations move faster, reduce manual work, and improve outcomes in areas where reliability matters—particularly healthcare.
We work directly with customers to understand complex workflows, deploy AI agents into real operating environments, and turn what we learn into a more powerful and scalable platform.
The shift toward agentic work is already underway, and we are building the infrastructure and deployment playbook that will define how it happens.
Magical is backed by Greylock, Coatue, Altman Capital, Lightspeed, and other investors behind companies including OpenAI, Anthropic, Hugging Face, and Notion.