GenAI Devloper

CapgeminiToronto, ON

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

  • Demonstrate strong proficiency in the Python programming language.

Nice To Haves

  • Champion DevOps 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.
  • Possess familiarity with DevOps and MLOps methodologies emphasizing CI/CD processes and AI model lifecycle management.

Responsibilities

  • Design and develop efficient, maintainable, and reusable Python scripts for data extraction, transformation, and loading (ETL) in GenAI applications.
  • Collaborate with cloud platforms (e.g., AWS, Azure, GCP) 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 finetuning methods.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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