Hybrid AI Engineer

Posted 3 weeks ago

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About the role

  • Participate in the design, industrialization, and optimization of software solutions leveraging Generative AI;
  • Responsible for the deployment, monitoring, and performance of models and agent-based architectures in production;
  • Transition AI prototypes into robust, maintainable, and scalable solutions.

Requirements

  • Strong proficiency in Python development;
  • Good knowledge of deployment tools (Docker, Kubernetes);
  • Experience in developing and maintaining agent-based architectures or Generative AI platforms;
  • Proficiency in MLOps / LLMOps practices;
  • Skills in automation and CI/CD;
  • Familiarity with Cloud environments (GCP, AWS, or Azure)

Benefits

  • Training and certifications tailored to your needs;
  • Freedom to choose and evolve your assignments;
  • Opportunity to work on AI topics with RAISE, our in-house generative AI platform.

Job title

AI Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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