AI Platform Engineer - EZRA
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AI Summary
Design, build, and operate the production AI runtime platform to power AI-first features. Ensure AI systems are scalable, secure, and reliable through observability, monitoring, and optimized deployment pipelines.
Job Role: AI Platform Engineer
Location: Ontario - Remote
Location: Ontario - Remote
Who we are:
We believe everyone can be better with a coach... and we won’t stop until we get there.
Coaching changes people’s lives. It helps them be happier and more productive in their work. It turns entire companies into more inclusive, more productive places to be. That’s why we’ve made it easy for more people – not just those at the top – to benefit from the world’s best coaches. This is true of our EZRA team. We believe a happy team is a productive one. We help our people grow, to care deeply about and be proud of what we do.
The Role
As an AI Platform Engineer (LLMOps), you will build and operate the production AI platform that powers EZRA’s AI-first features. Reporting to the VP of Engineering, you will ensure AI systems are scalable, observable, secure, and reliable, enabling teams to safely deploy and iterate on AI capabilities in production.
What You'll Do
- Design, build, and operate the AI runtime platform, including deployment pipelines, environment configuration, and scaling strategies
- Implement observability and monitoring across AI systems, with dashboards, alerting, and incident response processes
- Manage prompt and model configuration lifecycle, including versioning, approvals, routing logic, and rollback mechanisms
- Ensure security and compliance standards are met through access controls, auditability, and safe data handling practices
- Optimize AI system performance and cost through usage monitoring, caching strategies, and capacity planning
About you
- 6+ years of experience in platform engineering, DevOps/SRE, or backend operations for production systems
- Hands-on experience building CI/CD pipelines and managing cloud infrastructure in production environments
- Strong understanding of observability practices (metrics, logging, distributed tracing) and incident management workflows
- Familiarity with operational considerations for AI/LLM systems (latency, rate limits, token usage, cost drivers)
- Experience managing infrastructure or configuration changes through code review and controlled release processes
- Experience optimizing system reliability, performance, and cost in a production environment
Life at EZRA
- Your Own World-class coach to help you grow personally and professionally.
- Coaching for Friends and family because coaching is a gift worth passing on.
- Charity Days to support the causes close to your heart - because doing good feels good.
- Learning Budget to fuel your curiosity. If it helps you grow, we’re in.
- Weekly Wellbeing Hour just for you. No meetings. No emails. Just space to breathe, reflect, or reset.
- Regional benefits flex to fit your location and lifestyle.
- A welcoming place to do your best work. Comfortable, collaborative and inclusive.
The salary range for this role is $180,000 - 195,000 (CAD)
#LI-Hybrid
We’re an equal opportunity employer dedicated to building a diverse team that reflects the communities in which we work, where everyone has a voice and feels able to be themselves.
We believe that diversity strengthens to our culture and business. Valuing uniqueness and respecting our differences means we grow faster, become better, and achieve more.
In the spirit of transparency, credentials are verified through background checks conducted upon conditional employment, in accordance with applicable laws.
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