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GenAI Developer

Capgemini · Toronto

Nuevo
🇬🇧 English
Python AWS Azure GCP Generative AI RAG vector databases Docker Kubernetes Git MLOps

Descripcion del puesto

About the role

Capgemini is looking for a GenAI Developer to design and build generative AI solutions that help our clients unlock technology value. You will work with a global team, leveraging cloud platforms and modern AI practices to create scalable, maintainable applications.

Key responsibilities

  • Design and develop efficient, reusable Python scripts for ETL processes in GenAI applications.
  • Collaborate with cloud services such as AWS, Azure, and GCP to deploy generative AI models.
  • Develop, implement, and maintain APIs that integrate GenAI models into business workflows.
  • Research and experiment with cutting‑edge generative AI techniques, including AI agents, hybrid RAG, optimization, and workflow orchestration.
  • Apply expertise in document storage, chunking, vector databases, Retrieval‑Augmented Generation (RAG) and basic model fine‑tuning.

Required profile

  • Strong proficiency in Python programming.
  • Experience building applications on major cloud platforms (AWS, Azure, GCP).
  • Proven ability to develop and maintain RESTful APIs.
  • Hands‑on experience with generative AI concepts and experimentation.
  • Knowledge of document chunking, vector stores, and RAG pipelines.

Required skills

  • Python
  • AWS, Azure, GCP
  • API development
  • Generative AI techniques (RAG, vector databases, fine‑tuning)
  • Docker, Kubernetes, Git (preferred)
  • CI/CD and MLOps practices (preferred)

What we offer

  • Base salary range of $80,000 – $90,909 (subject to location and experience).
  • Comprehensive benefits package for full‑time employees.
  • Opportunities for variable incentives, bonuses, and career growth within a collaborative global community.

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Publicado hace 25 minutos

Expira en 1 mes

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Capgemini

Toronto