Agentic AI Engineer: Build & Scale Enterprise AI

Capgemini Engineering; Aguascalientes; Presencial; MXN 420.000 - 660.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Mexico invites you to join a world leader in engineering services. You will participate in AI capability deployment, collaborating with global teams to deliver safe, scalable AI solutions across industries.

This role requires a bachelor’s degree in computer science and 2+ years in software development with a passion for Generative AI, LLMs, and RAG. You will translate business problems into AI use cases and contribute to enterprise AI platform infrastructure.

Formación

• Bachelor's degree in computer science or equivalent.
• 2+ years of experience in software development.
• Passion for Generative AI and software development with hands-on AI web apps.
• Experience translating business problems into AI use cases and technical solutions.
• Familiarity with LLMs and Retrieval-Augmented Generation (RAG).
• Working knowledge of Agentic AI systems and cloud services.

Responsabilidades

• Collaborate in developing and deploying Agentic AI solutions with scalable outcomes.
• Build and scale enterprise AI platform infrastructure and define best practices.
• Integrate AI platforms with internal systems to support diverse use cases.
• Create AI prototypes and demos to drive adoption and showcase capabilities.
• Deliver technical consulting and mentoring across cross-functional AI initiatives.

Conocimientos

Generative AI

LLMs

RAG

Advanced English

DevOps

Educación

Bachelor Degree in Computer Sciences or equivalent

Herramientas

GitHub Copilot

Claude

ChatGPT

Descripción del empleo

Capgemini Engineering in Mexico invites you to join a world leader in engineering services. You will participate in AI capability deployment, collaborating with global teams to deliver safe, scalable AI solutions across industries.

This role requires a bachelor’s degree in computer science and 2+ years in software development with a passion for Generative AI, LLMs, and RAG. You will translate business problems into AI use cases and contribute to enterprise AI platform infrastructure.