Remote AI Engineer for Cost Methods & Generative AI

Capgemini Engineering; Aguascalientes; Remote; MXN 180,000 - 300,000; Full time

Job summary

Capgemini Engineering is seeking a Jr AI Engineer to design, develop, and deploy AI/ML solutions that enhance cost estimation and optimization. The role emphasizes end-to-end pipelines, LLM-powered copilot-style applications, and AI-assisted workflows within enterprise platforms.

The candidate should work across Generative AI, LLMs, RAG architectures, and vector databases, applying enterprise data sources to deliver production-grade AI systems. Remote work is supported.

Qualifications

• Experience with building production-grade AI/ML systems.
• Ability to design and deploy end-to-end ML pipelines.
• Familiarity with GenAI, LLMs, and RAG architectures.
• Comfort working in a remote-capable, global-capability team.

Responsibilities

• Design, develop, and deploy scalable AI/ML models for cost engineering.
• Build 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.

Skills

Generative AI & LLM Apps

AI/ML Solution Development

LLM-powered applications

RAG architectures

Tools

Vector databases

enterprise data sources

ML pipelines

Job description

Capgemini Engineering is seeking a Jr AI Engineer to design, develop, and deploy AI/ML solutions that enhance cost estimation and optimization. The role emphasizes end-to-end pipelines, LLM-powered copilot-style applications, and AI-assisted workflows within enterprise platforms.

The candidate should work across Generative AI, LLMs, RAG architectures, and vector databases, applying enterprise data sources to deliver production-grade AI systems. Remote work is supported.