Senior AI Platform Engineer – LLM & AI Solutions

Capgemini Engineering

Aguascalientes

Presencial

MXN 600.000 - 900.000

Jornada completa

hace 28 horas
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Descripción de la vacante

Capgemini Engineering in Mexico is seeking a hands-on AI/ML engineer to lead the development and deployment of Agentic AI solutions, ensuring scalable, high-quality outcomes aligned with business goals.

You will work with Azure cloud services, implement LLM/RAG use cases, build microservices with Flask/Django/Spring, and mentor teams within Agile delivery, delivering practical, measurable impact.

Formación

  • Experience with LLMs and RAG techniques.
  • Experience with Agentic AI systems.
  • Hands-on ML concepts and implementations.
  • Experience with Azure cloud platforms and AI services.
  • Hands-on DevOps skills and collaboration.
  • Translate business problems into AI use cases.
  • Work in Agile delivery teams.

Responsabilidades

  • Led development and deployment of AI solutions aligned with business goals.
  • Built and scaled enterprise AI platform infrastructure and direction.
  • Integrated AI platforms with internal systems for diverse use cases.
  • Created AI prototypes and demos to drive adoption.
  • Provided technical leadership and mentoring across teams.
  • Translate business problems into AI use cases and solutions.
  • Work in Agile delivery teams and iterative development.
  • Collaborate across engineering, data science and platform teams.
  • Support solution documentation and handover.
  • Problem-solving mindset focused on scalable outcomes.

Conocimientos

LLMs & RAG
Agentic AI systems
Azure cloud & AI services
DevOps practices
Microservices (Flask/Django/Spring)
GitHub Copilot & AI tools
Agile delivery

Herramientas

Flask
Django
Spring (Java)
GitHub Copilot
Azure AI services

Descripción del empleo

Capgemini Engineering in Mexico is seeking a hands-on AI/ML engineer to lead the development and deployment of Agentic AI solutions, ensuring scalable, high-quality outcomes aligned with business goals.

You will work with Azure cloud services, implement LLM/RAG use cases, build microservices with Flask/Django/Spring, and mentor teams within Agile delivery, delivering practical, measurable impact.

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