Responsibilities
- Construct scalable data platforms and pipelines that process both structured and unstructured data for use in AI models
- Build and refine AI and machine learning components such as large language model agents, embedding systems, and behavioral simulations used in synthetic persona creation
- Design and manage data infrastructure including feature stores, vector databases, data lakes, and real-time data serving layers
- Work closely with research teams to implement behavioral models and persona logic into functional software components
- Develop high-quality production code, engage in peer code reviews, and support team engineering standards
- Track performance of machine learning models and data pipelines in live environments, identifying and fixing issues before they escalate
- Participate in technical design discussions and help define the long-term direction of the platform
Work Arrangement
Remote — Edmonton, AB, Canada
