AI Engineer: Generative AI & LLMs—Remote

Capgemini; Aguascalientes; A distancia; MXN 420.000 - 660.000; Jornada completa

Descripción de la vacante

Capgemini is seeking a Mid AI Engineer to join our team in México (remote). You will contribute to developing AI-powered web applications and scalable AI platforms using Generative AI, LLMs, and RAG techniques.

This role emphasizes translating business problems into practical AI solutions and collaborating with cross-functional teams. You will work with cloud services, DevOps practices, and AI tooling such as Claude and ChatGPT to deliver high-quality outputs.

Formación

• Bachelor degree in computing or equivalent field.
• 2+ years of software development experience.
• Strong interest in Generative AI and AI-powered apps.
• Experience applying LLMs and RAG in real projects.
• Familiarity with cloud services and DevOps practices.
• Excellent written and spoken English.

Responsabilidades

• Collaborate in development and deployment of AI solutions aligned with business goals.
• Build and scale enterprise AI platform infrastructure and best practices.
• Integrate AI platforms with internal systems for diverse use cases.
• Create AI prototypes and demos to showcase capabilities.
• Provide technical consulting, mentoring, and cross-functional support.

Conocimientos

Generative AI

LLMs

RAG techniques

Agentic AI systems

Cloud platforms

DevOps

GitHub Copilot

AI tools for developers

English communication

Educación

Bachelor Degree in Computer Sciences or equivalent

Herramientas

GitHub Copilot

Claude

ChatGPT

Descripción del empleo

Capgemini is seeking a Mid AI Engineer to join our team in México (remote). You will contribute to developing AI-powered web applications and scalable AI platforms using Generative AI, LLMs, and RAG techniques.

This role emphasizes translating business problems into practical AI solutions and collaborating with cross-functional teams. You will work with cloud services, DevOps practices, and AI tooling such as Claude and ChatGPT to deliver high-quality outputs.