Senior AI Engineer

About the role

Capgemini Engineering, a global engineering services firm, is hiring a Senior AI Engineer. The role focuses on designing, developing and deploying AI and generative AI solutions for business use cases, working closely with Data Engineers, Data Scientists and Product teams.

Key responsibilities

• Design, develop and deploy AI and GenAI solutions for business use cases.
• Build and optimize LLM-based applications, AI agents and multi-agent systems.
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data sources and knowledge repositories.
• Integrate AI solutions with APIs, databases, business applications and enterprise platforms.
• Evaluate, fine-tune and monitor AI models to ensure performance, accuracy and reliability.
• Implement Responsible AI, governance, security and observability best practices.
• Collaborate with Data Engineers, Data Scientists and Product teams to operationalize AI solutions.

Required profile

• Experience building applications with Large Language Models (LLMs) and Generative AI technologies.
• Hands-on experience with AI Agents, Multi-Agent Systems and RAG architectures.
• Knowledge of AI governance, security, privacy and Responsible AI principles.

Required skills

• Strong proficiency in Python and API development.
• Knowledge of vector databases, embeddings, semantic search and knowledge retrieval.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel or CrewAI.
• Familiarity with prompt engineering, model evaluation and AI application monitoring.
• Understanding of software engineering best practices, including Git, CI/CD, testing and cloud-native architectures.