Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
**Your Role**
As an **AI / LLM Engineer at Capgemini**, you will design, develop, and optimize advanced solutions based on **Large Language Models (LLMs)**, focusing on **retrieval-augmented generation (RAG)** and intelligent search systems.
You will be responsible for implementing and enhancing **chunking and embedding strategies for text and images**, improving how data is indexed, retrieved, and consumed by AI systems.
This role requires strong experience in **prompt engineering, hybrid search, re-ranking techniques, AI guardrails**, and evaluation frameworks, ensuring high-quality, safe, and scalable AI solutions.
**Responsibilities & Scope**
- Design and implement **chunking and embedding strategies** for text and image data
- Develop and optimize **prompt engineering techniques** for LLM-based systems
- Implement **hybrid search and re-ranking mechanisms** to improve retrieval accuracy
- Enrich data chunks using **metadata filtering and structuring techniques**:
- Build, test, and validate **AI guardrails** to ensure safety, quality, and compliance
- Perform **AI client testing and evaluation** to validate model outputs and performance
- Improve **retrieval accuracy and response quality** in RAG-based architectures
- Collaborate with AI/ML teams to optimize models and system performance
- Contribute to the design of **scalable, high-performance AI retrieval systems**
**Your Profile**
**AI & LLM Expertise** - Strong understanding of **LLMs, NLP concepts, and RAG architectures**,



with the ability to design and optimize intelligent retrieval systems.
**Prompt & Retrieval Optimization** - Skilled in **prompt engineering, embeddings, chunking strategies**, and improving search relevance with hybrid techniques.
**Data & Search Engineering Mindset** - Ability to structure, enrich, and filter data using **metadata strategies** to enhance AI performance.
**Quality & Safety Focus** - Experience implementing **AI guardrails, validation frameworks, and testing methodologies** to ensure responsible AI usage.
**Collaborative & Adaptive** - Works effectively with cross-functional teams in dynamic environments, driving innovation and continuous improvement.
**What you’ll love**
Exposure to top integral companies working with Capgemini (145 of the Fortune 500 companies)
Tech solutions and projects driving societal impact and paving the way for a sustainable future
Well-being hub and different wellbeing initiatives
**Need to know**
Career Development in Spanish & English: Training, certifications, and mentorship programs available in both languages to support bilingual growth.
Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
**About Capgemini**
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

📌 Llm Engineer (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes