📋 Description

• Contribute to the design, development, and maintenance of data-intensive systems and AI-powered
• Build and maintain ETL pipelines for ingesting, transforming, and loading structured and
• Develop backend services and tooling in Python and TypeScript to support data processing workflows
• Integrate and optimize LLM inference pipelines, including prompt engineering, model serving, and
• Deploy and manage containerized workloads on Kubernetes, including writing manifests, configuring
• Collaborate with cross-functional teams to improve data quality, pipeline reliability, and system

🎯 Requirements

• Currently a student at Waterloo University (for fall internship)
• Ability to work remotely
• Experience with Python and TypeScript for backend services (for Role One)
• Experience with ETL pipelines and data processing
• Knowledge of LLM integration and prompt engineering
• Experience with Kubernetes and containerized workloads

🎁 Benefits

• Ability to work at an exciting and well-funded international startup headquartered in San Francisco
• Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
• Competitive compensation of $6000.00 per month for 3 months
• Great international exposure and team atmosphere
• Flexible schedules to accommodate studies