AI Engineer

The AI Engineer is responsible for designing, building, and operationalizing intelligent systems that extract value from data and power AI-driven product capabilities. The role spans applied AI, production-grade machine learning engineering, data science, and advanced analytics.

Requirements

• Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments
• Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration
• Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration)
• Strong programming skills in Python & SQL, experience writing production-quality code
• Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data platforms
• Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable
• Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts

Benefits

• Annual performance-based bonuses recognizing your contributions
• Generous benefit coverage with low premiums, plus a Healthcare Spending Account and Wellness Spending Account
• RRSP matching
• Paid vacation and sick days
• Paid day off for your birthday
• Paid volunteer days to support causes you care about
• Free access to LinkedIn Learning and education reimbursement program for continued development
• Employee recognition programs
• Free premium Headspace membership
• Unlimited access to fully stocked beverage stations
• Exclusive Perkopolis retail discounts