AI Engineer

This position is bonus eligible.

At KUBRA, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

In accordance with Ontario employment legislation, this job posting is for an existing open vacancy

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.