AI Engineer

Capgemini; Aguascalientes; Remote; MXN 900,000 - 1,300,000; Full time

Job summary

Capgemini Engineering is seeking a mid-level AI Engineer to design, develop, and deploy production-grade AI/ML solutions that support cost estimation, optimization, and decision making. The role focuses on building end-to-end pipelines and LLM-powered applications integrated into enterprise platforms.

You will work on Generative AI, RAG architectures, vector databases, and multi-agent orchestration to deliver scalable tools for cost engineering across the organization.

Qualifications

• Experience with Generative AI applications and LLMs.
• Knowledge of RAG architectures, vector databases and orchestration.

Responsibilities

• Design, develop and deploy scalable AI/ML models for cost engineering.
• Build end-to-end ML pipelines (data ingestion, feature engineering, model training, validation, deployment).
• Implement model monitoring, retraining and production optimization.

Job description

Mid- AI Engineer – Cost Methods - Mid | REMOTEThe Cost Methods, Tools & Data Solutions (CMTD) organization is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI/ML and Generative AI solutions that enhance cost engineering capabilities across the organization.This role focuses on building production-grade AI systems that enable intelligent cost estimation, optimization, analysis and decision support. This includes building end-to-end AI pipelines, LLM-powered applications, and AI-assisted workflows integrated into enterprise platforms.YOUR ROLEFocus on Mechanical and Physical Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.Design , develop , and deploy scalable AI/ML models for cost engineeringBuild and maintain end-to-end ML pipelines (data ingestion , feature engineering , model training, validation , deployment ).Implement model monitoring , retraining , and performance optimization in production environments .YOUR PROFILEGenerative AI & LLM ApplicationsDesign, Develop and deploy production-ready LLM-powered applications (e.g., copilots, chatbots, knowledge assistants) for cost engineering use cases.Develop and implement LLM-based solutions using enterprise data sources.Implement RAG architectures, vector databases, and multi-agent orchestrationAI/ML Solution DevelopmentWHAT YOU’LL LOVE ABOUT WORKING HERE?At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.At Capgemini Engineering, we’re always looking ahead. We’re part of a team that creates opportunities to achieve valuable change. Change that makes a difference. New connections, new technologies, new ways to work. It’s so energizing.At Capgemini Engineering, we make it easy for you to deepen knowledge and learn new skills while you’re still doing the day job.ABOUT CAPGEMINICapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.Get the future you want!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.