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Multiple Opening in Toronto
LinkedIn Recruiter Post
#Hiring for Multiple Opening in Toronto, ON (Canada) mail to: [email protected] #1 QE Engineer/Lead Toronto, ON - Hybrid Contract .net, API, Azure, Ba
About the role
- Director of Engineering co-leading Lazer’s AI-powered forward-deployed engineering team. Guiding architecture, talent, client engagements, AI standards, and technical delivery at a digital product studio.
Responsibilities
- Co-own the AI engineering team of roughly 30 forward deployed engineers alongside existing engineering leaders
- Own team health and happiness through regular 1:1s and early intervention on disengagement, burnout, and bench frustration
- Run performance reviews against the FDE rubric
- Develop the team through training sessions, playbooks, checklists, pairing, and internal writeups
- Define and maintain baseline AI competency standards
- Codify best engineering practices and distill field learnings into reusable patterns
- Track engagement health across the portfolio and surface delivery and client-relationship risks
- Review architectures and pressure-test technical approaches
- Guide evaluation strategy, instrumentation, and impact measurement
- Step onto engagements as technical lead when needed
- Partner with talent on sourcing, hiring-manager screens, interviewer calibration, and the technical bar
- Staff engagements based on skill, growth, and client fit while balancing utilization and development
- Support scoping and pre-sales conversations
- Act as senior escalation point for clients and partners
Requirements
- 10+ years of engineering experience
- 3+ years directly managing senior engineers, including hiring, performance management, and difficult conversations
- Experience leading teams of 15+ engineers across concurrent projects or engagements
- Ability to read architectures, identify flaws, and propose improvements
- Strong full-stack experience with TypeScript, React, Node.js, and Python or Go
- Proven experience building and shipping production agentic applications with orchestration and tool-calling patterns
- Experience setting up evaluation harnesses and testing infrastructure for agentic applications using real prompts and business metrics
- Familiarity with MLOps or LLMOps, including monitoring, guardrails, and human-in-the-loop design
- Experience with at least one major cloud provider: GCP, AWS, or Azure
- Practical AI-native use of coding agents, harnesses, and workflows
- Consulting, agency, or forward deployed engineering experience
- Ability to manage client expectations and timelines
- Track record of developing people through training, onboarding, or mentorship structures
- Comfort operating in ambiguity and making decisions independently
- Exceptional communication across executives, staff engineers, and written updates
- Nice to have: enterprise experience in financial services, healthcare, or retail
- Nice to have: experience scaling forward deployed engineering, solutions engineering, or professional services teams
- Nice to have: AI enablement or developer productivity program experience
- Nice to have: founder, CTO, or early venture-backed startup experience
- Nice to have: LLM fine-tuning experience
- Nice to have: Kubernetes and container orchestration familiarity
- Nice to have: scalable data pipeline or data lake design experience
- Nice to have: relevant certifications, open-source contributions, or technical publications
Benefits
- Competitive compensation
- Unlimited PTO
- Work from anywhere / flexible workspace
- Full healthcare, dental, and vision benefits
- 401(k) for US employees
- Regular team retreats
- Company vacations
- Regular events
- Professional growth across multiple industries and cutting-edge projects
- Continuous learning and knowledge sharing
- Minimal meetings and real autonomy
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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