GenAI Developer

Responsibilities

• Design and develop efficient, maintainable, and reusable Python scripts for ETL processes within GenAI applications
• Collaborate with cloud platforms such as AWS, Azure, or GCP to build innovative Generative AI solutions
• Develop, implement, and maintain APIs to integrate GenAI models into various applications and workflows
• Conduct research and experiments on advanced techniques including AI agents, hybrid RAG optimization, and workflow orchestration
• Apply expertise in document storage, chunking, vector databases, RAG implementation, and basic fine-tuning methods

Requirements

• Strong proficiency in the Python programming language
• Proven experience in ETL development and data transformation
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience with API implementation and integration
• Practical knowledge of RAG (Retrieval-Augmented Generation) implementation
• Experience working with vector databases

Preferred Qualifications

• Familiarity with DevOps and MLOps practices, including CI/CD processes and AI model lifecycle management
• Experience using tools such as Docker, Kubernetes, and Git to manage AI pipelines
• Experience implementing monitoring and logging solutions for AI model performance and reliability
• Ability to collaborate effectively with software engineering and operations teams

Benefits

• Competitive base compensation
• Paid time off including vacation, company holidays, personal days, and sick leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) or RRSP)
• Life and disability insurance
• Employee assistance programs

About the Company

Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world. With a team of 340,000 members in more than 50 countries, Capgemini leverages expertise in AI, generative AI, cloud, and data to deliver end-to-end solutions for clients worldwide.