Kubra is looking for an AI Engineer to design, build, and operationalize intelligent systems that extract value from data and power AI-driven product capabilities. This role spans applied AI, including generative AI and LLM-based systems, production-grade machine learning engineering, and advanced analytics.
What You'll Do
- Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature engineering, model training, orchestration, deployment, and monitoring.
- Deliver AI-driven solutions that measurably improve key product or operational metrics like revenue uplift, cost reduction, or prediction accuracy.
- Partner with Data and Product teams to identify and execute AI opportunities aligned with strategic objectives.
- Establish and enforce AI, machine learning, and data operational standards, governance, and best practices.
- Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate system performance.
- Build reliable experimentation frameworks to validate model performance and business impact, driving iterative improvements.
- Own the scalability, robustness, observability, optimization, and operational excellence of production AI systems and data pipelines.
What We're Looking For
- Minimum of 3-5 years designing, building, and operationalizing end-to-end data and AI systems in production environments.
- Sound knowledge of the machine learning lifecycle from data preparation to model deployment, monitoring, and iteration.
- Hands-on experience with LLM-based systems, including RAG architectures, prompt engineering, model evaluation, and API integration.
- Strong programming skills in Python & SQL, with experience writing production-quality code.
- Exposure to AWS Bedrock and preferably AWS Sagemaker, cloud-based AI/ML services, and modern data platforms.
- Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization.
- Strong analytical and problem-solving skills, with the ability to translate ambiguous business requirements into structured solutions.
- Excellent written and verbal communication skills to explain complex technical concepts to non-technical stakeholders.
- Ability to collaborate effectively across Product, Engineering, BI, and Data teams.
- Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
- Proactive, ownership-oriented mindset with the ability to work independently and drive solutions from concept to production.
- Professionalism and composure when operating under pressure or resolving production issues.
Nice to Have
- Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services.
Technical Stack
- Python
- SQL
- AWS Bedrock
- AWS Sagemaker
- Cloud-based AI/ML services
- Modern data platforms
Team & Environment
You will partner closely with Product, BI, and Data Engineering teams to deliver integrated solutions.
Benefits & Compensation
- Annual performance-based bonuses
- Generous benefit coverage with low premiums
- Healthcare Spending Account
- Wellness Spending Account
- RRSP matching
- Paid vacation and sick days
- Paid day off for birthday
- Two paid volunteer days
- Free access to LinkedIn Learning
- Education reimbursement program
- Employee recognition programs
- Free premium Headspace membership
- Unlimited access to fully stocked beverage stations
- Exclusive Perkopolis retail discounts
Work Mode
This is a hybrid position based in Mississauga, ON.
KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce.
