Senior embedded engineer developing safety - critical ECU firmware for Hexagon Mining’s digital mining and vehicle - control technologies. Designing, testing, and commissioning embedded systems.
About the role
- Tech Lead tackling complex customer deployments for Magical’s agentic AI platform. Designing workflows, debugging integrations, improving agent performance, and shaping reusable platform capabilities.
Responsibilities
- Lead Magical’s most complex, high-risk, or technically ambiguous customer deployments
- Design agentic workflows, write and improve prompts, build integrations, debug failures, analyze system behavior, and ship production solutions
- Diagnose issues across customer environments, integrations, agent performance, data quality, and platform behavior
- Provide technical leadership across multiple customers and teams
- Review solution designs, implementation plans, testing strategies, and production readiness
- Coach FDEs and help junior team members develop problem-solving, debugging, and systems-thinking skills
- Identify risks, architectural weaknesses, and reliability issues before they become customer-facing problems
- Partner with Product and Engineering to distinguish deployment-specific issues from platform-level gaps
- Translate recurring customer challenges into reusable platform capabilities, internal tools, reference implementations, and technical standards
- Improve testing, observability, debugging, incident response, documentation, and release management practices
- Help define the standard for excellent Forward Deployed Engineering at Magical
- Report to the Head of Deployments and collaborate with Forward Deployed Engineers, Deployment Strategy, Product, and Engineering
Requirements
- Significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role
- Experience as a technical lead or senior individual contributor on complex, customer-facing software deployments
- Ability to move from understanding customer workflows to debugging integrations, improving agent behavior, and shipping reliable production solutions
- Strong problem-solving ability and capacity to create structure in unclear situations
- Strong technical judgment, including knowing when to fix an implementation, change architecture, or escalate a platform limitation
- Willingness to personally handle difficult implementation and debugging work
- Ability to influence and lead engineers without formal management authority
- Strong coaching ability
- Clear communication with engineers, deployment teams, and customer stakeholders
- Deep care for production reliability, testing, observability, and root-cause resolution
- Curiosity about AI agents, prompting, automation, and multi-agent systems
- Strong bias toward action and a “show, don’t tell” approach
- High agency, prioritization, decision-making, and self-unblocking ability
- Comfort working in early-stage environments where the technical playbook is still being created
- Located in Toronto or willing to relocate
- A science, engineering, or similarly technical educational background is helpful, but not required
Benefits
- Competitive compensation
- Meaningful equity
- Unlimited PTO
- Team offsites, with past trips including Iceland, Lisbon, Cancún, and Costa Rica
- Modern technical stack and access to leading AI tools
- Significant influence over Magical’s product, platform, and deployment practices
- Opportunity to work at the frontier of agentic AI and multi-agent systems
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
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