About the role

AI Engineer designing and operationalizing intelligent systems at KUBRA for customer communications and billing solutions. Collaborating with Product, BI, and Data Engineering teams to deliver measurable business impact.

Responsibilities

Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring.
Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, consumer satisfaction, platform efficiency, prediction accuracy, latency reduction).
Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization.
Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems.
Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements through reliable model evaluation and testing.
Own the scalability, robustness, observability, optimization and operational excellence of production AI systems and data pipelines.

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.

Earn annual performance-based bonuses recognizing your contributions
Enjoy generous benefit coverage with low premiums, plus a Healthcare Spending Account and Wellness Spending Account
Invest in your future with RRSP matching
Take time to recharge with paid vacation and sick days, and enjoy a paid day off for your birthday
Make a difference with two paid volunteer days to support causes you care about
Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
Feel appreciated through our employee recognition programs
Support your mental health with a free premium Headspace membership
Stay refreshed with unlimited access to fully stocked beverage stations
Save more with exclusive Perkopolis retail discounts