AI Engineer

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Build, integrate, and optimize AI solutions using LLMs, RAG pipelines, conversational AI platforms, and modern AI orchestration frameworks • Deliver scalable, production-grade GenAI applications for enterprise use cases • Collaborate with cross-functional teams to transform business requirements into AI-powered products • Build and deploy chatbots, virtual assistants, and conversational workflows using Dialogflow CX and Copilot Studio • Implement AI workflows using LangChain, LangGraph, and vector databases

🎯 Requirements

• Strong programming experience in Python and/or Node.js • 4+ years of experience • Hands-on experience with Large Language Models, including OpenAI, Azure OpenAI, Gemini, Claude, and Llama • Experience with Retrieval-Augmented Generation (RAG) • Experience with embeddings and semantic search • Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, and Azure AI Search • Experience designing and deploying AI solutions in Azure, AWS, or GCP • Working knowledge of REST APIs, microservices, and system integrations • Understanding of MLOps fundamentals, CI/CD pipelines, and production deployment practices • Fluent English level

🏖️ Benefits

• Work on meaningful projects that use technology to solve real-world challenges • Sustainability, inclusion, and digital equity initiatives • Opportunity to contribute to building a better future for people, planet, and society • Collaborative community of colleagues around the world