Python Gen AI Engineer

Role overview

Python Gen AI Engineer at Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.

Responsibilities

• Develop scalable data engineering and ETL pipelines using Python and SQL to ingest, transform, and prepare structured and unstructured data for AI applications.

Employment details

• Location: Bangalore [India]

Application details

• Proven experience working with Generative AI, Large Language Models (LLMs), RAG architectures, prompt engineering, embeddings, and LLM application development.

About the employer

• We offer a range of career paths and internal opportunities within Capgemini group.
• At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
• Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
• Make it real | www.capgemini.com

Benefits

• You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.

Additional role details

• Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
• Your Role Design, develop, and deploy Generative AI and LLM-based applications using Python, including enterprise-grade AI solutions and intelligent assistants .Build and optimize Retrieval-Augmented Generation (RAG) pipelines using LangChain and/or LlamaIndex, integrating enterprise data sources with LLMs.
• Implement and optimize Vector Database solutions for embeddings, semantic search, document retrieval, and contextual information retrieval.
• Deploy and operationalize GenAI/LLM solutions on AWS, Microsoft Azure, or Google Cloud Platform (GCP) using MLOps/LLMOps practices, including monitoring, versioning, CI/CD, model lifecycle management, and production support.
• Your Profile Strong hands-on experience in Python and SQL, with solid knowledge of software development, data processing, and API-based integrations.
• Hands-on expertise with LangChain and/or LlamaIndex and experience integrating LLMs with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or equivalent technologies.
• Strong understanding of Data Engineering, ETL, data pipelines, structured/unstructured data processing, and cloud services on AWS, Azure, or GCP.
• Experience with MLOps/LLMOps, including model/application deployment, CI/CD, monitoring, evaluation, version control, scalability, security, and productionization of AI solutions.
• What you will love about working here You can shape your career with us.
• You will also get personalized career guidance from our leaders.
• We imagine the future of organizations and make it real with AI, technology and people.
• With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries.
• We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
• The Group reported 2024 global revenues of €22.1 billion.