GenAi Developer

Gen Ai Developer

Location:

Toronto, ON | Type:
Contract | Hybrid

• Design and develop efficient, maintainable, and reusable Python scripts for data extraction, transformation, and loading (ETL) in GenAI applications.
• Demonstrate strong proficiency in the Python programming language.
• Collaborate with cloud platforms such as AWS, Azure, and Google Cloud Platform to build Generative AI (GenAI) applications.
• Develop, implement, and maintain APIs to integrate GenAI models into applications and workflows.
• Conduct research and experiments to explore innovative generative AI techniques such as AI agents, hybrid RAG optimization, and workflow orchestration.
• Apply expertise in generative AI concepts including document storage, chunking, vector databases, RAG implementation, and basic fine-tuning methods.

• Champion Dev Ops and MLOps practices focusing on continuous integration, deployment, and AI model monitoring.
• Previous experience leveraging tools like Docker, Kubernetes, and Git to build and manage AI pipelines.
• Experience implementing monitoring and logging solutions to ensure the performance and reliability of AI models.
• Collaboration experience with software engineering and operations teams for seamless AI model integration and deployment.
• Familiarity with Dev Ops and MLOps methodologies emphasizing CI/CD processes and AI model lifecycle management.