About this role
Your Role
- Looking for a Generative AI Engineer to build, integrate, and optimize AI solutions using Large Language Models (LLMs), RAG pipelines, conversational AI platforms, and modern AI orchestration frameworks.
- The role focuses on delivering scalable, production‑grade GenAI applications for enterprise use cases.
Key Responsibilities
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Develop GenAI applications using LLMs, embeddings, and RAG architectures.
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Build and deploy chatbots, virtual assistants, and conversational workflows (Dialogflow CX, Copilot Studio). Implement AI workflows using LangChain, LangGraph, and vector databases.
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Optimize models for performance, latency, and cost; integrate with cloud platforms (Azure/AWS/GCP). Collaborate with product, engineering, and data teams to deliver reliable AI features.
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Your Profile
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Required
Skills
- Strong programming in Python or Node.js. Hands‑on experience with LLMs, RAG, embeddings, and vector databases.
- Experience with cloud deployment and MLOps fundamentals.
- Familiarity with conversational AI platforms (Dialogflow CX, GenAI playbooks). Preferred
Skills
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Knowledge of multimodal models, agentic AI, and model fine‑tuning.
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Exposure to LangChain / LangGraph and orchestration frameworks.
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What you’ll love
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Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.
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Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.
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Own your growth: Open access to digital learning platforms
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About Capgemini
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Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver endtoend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
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At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position
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Job Description
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The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.
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Job Description - Grade Specific
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The role brings deep technical knowledge and expertise in machine learning to help clients or organizations navigate the complex landscape of AI. Plays a crucial role in providing designing solutions and ensuring successful implementation of machine learning projects to drive business impact. Also, assist in testing, deploying and monitoring models in production environments
Ref. code:
- 546109
Posted on:
- Sep 16, 2026
Experience Level:
- Experienced Professionals
Contract Type:
- Permanent
Location
Aguascalientes, MX
Brand:
Capgemini
Professional Community:
Data & AI