Jr Gen AI Engineer

Capgemini; Aguascalientes; Presencial; MXN 420.000 - 700.000; Jornada completa

Descripción de la vacante

Capgemini is seeking a data engineering/AI professional to develop and maintain data pipelines, integrations, and AI-ready datasets in cloud environments. You will build AI applications using Python, LLMs, RAG, AI agents, and vector databases, collaborating with senior engineers and product teams to deliver scalable AI-driven solutions.

You will support deployment, monitoring, and continuous improvement of cloud-based data and AI platforms on AWS, while expanding expertise in Generative AI and

Formación

• 2-4 years of experience in data engineering, AI, or related technical roles.
• Experience developing solutions using Python.
• Strong SQL and data manipulation skills.
• Experience with cloud platforms, preferably AWS.
• Knowledge of Generative AI concepts, including LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents.
• Experience with vector databases and semantic search solutions for retrieval and knowledge-grounded AI applications.
• Exposure to AI orchestration frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, AutoGen, or similar technologies.
• Fluent English level.

Responsabilidades

• Develop and maintain data pipelines, integrations, and AI-ready datasets that support analytics and Generative AI solutions in cloud environments.
• Build, test, and enhance AI applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases.
• Collaborate with senior engineers, architects, and product teams to deliver scalable AI-driven solutions that address business needs.
• Support the deployment, monitoring, troubleshooting, and continuous improvement of cloud-based data and AI platforms, primarily on AWS.
• Continuously expand technical expertise in Generative AI, cloud services, and modern engineering practices while contributing to documentation, testing, and agile delivery processes.

Conocimientos

Python

SQL

Cloud computing

Generative AI concepts

AI orchestration

English proficiency

Herramientas

AWS

Bedrock

S3

Lambda

ECS

Glue

Athena

API Gateway

LangChain

LangGraph

CrewAI

Semantic Kernel

AutoGen

Descripción del empleo

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 RoleDevelop and maintain data pipelines, integrations, and AI-ready datasets that support analytics and Generative AI solutions in cloud environments.Build, test, and enhance AI applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases.Collaborate with senior engineers, architects, and product teams to deliver scalable AI-driven solutions that address business needs.Support the deployment, monitoring, troubleshooting, and continuous improvement of cloud-based data and AI platforms, primarily on AWS.Continuously expand technical expertise in Generative AI, cloud services, and modern engineering practices while contributing to documentation, testing, and agile delivery processes.Your Profile2-4 years of experience in data engineering, artificial intelligence, or related technical roles.Experience developing solutions using Python.Good understanding of SQL and data manipulation techniques.Experience working with cloud platforms, preferably with AWS (S3, Lambda, Bedrock, ECS, Glue, Athena, API Gateway, or similar technologies)Knowledge of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents.Experience with vector databases and semantic search solutions for retrieval and knowledge-grounded AI applications.Exposure to AI orchestration frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, AutoGen, or similar technologies.Fluent English levelWhat you'll LoveWork on meaningful projects that use technology to solve real-world challenges.Be part of a company that values sustainability, inclusion, and digital equity.Contribute to building a better future for people, planet, and society.Need to knowThis role can be working from any state of MexicoAbout CapgeminiCapgemini 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 end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.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.