Inactive
C

Capgemini

Global consulting, technology services, outsourcing

Senior AI Engineer - Generative AI & Agentic AI

AI Application EngineeringPosted on Oct 22
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Strong experience in Python development and backend engineering.
  • Hands-on experience with large language models, retrieval-augmented generation, agentic AI, LangChain, LangGraph, and vector databases.
  • Strong knowledge of SQL, data engineering, ETL, and data processing frameworks.
  • Experience with cloud platforms such as AWS, Azure, or GCP and AI deployment pipelines.
  • Familiarity with MLOps, LLMOps, model monitoring, evaluation, and performance optimization.

Responsibilities

  • Design and develop generative AI solutions using Python, large language models, retrieval-augmented generation, and agentic AI frameworks.
  • Build intelligent AI agents using LangChain, LangGraph, and vector databases.
  • Develop and optimize ETL pipelines, data ingestion, and retrieval workflows for AI applications.
  • Deploy, monitor, and scale AI/ML solutions on AWS, Azure, or GCP using MLOps and LLMOps practices.
  • Collaborate with business and engineering teams to deliver production-grade AI applications.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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