Senior AI Engineer - Generative AI & Agentic AI

Capgemini; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Capgemini in Bengaluru is seeking a backend-focused AI Engineer to design and develop Generative AI solutions using Python, LLMs, RAG, and Agentic AI frameworks. You will build intelligent AI agents with LangChain, LangGraph, and vector databases, and deploy production-grade AI apps on cloud platforms.

You will collaborate with business and engineering teams to build scalable ETL pipelines, data ingestion, and retrieval workflows, and optimize ML deployments with MLOps practices.

Qualifications

• Strong experience in Python development and backend engineering.
• Hands-on experience with LLMs, RAG, Agentic AI frameworks.
• Familiarity with LangChain, LangGraph, and Vector Databases.
• Strong knowledge of SQL, Data Engineering, ETL, and data processing frameworks.
• Experience with cloud platforms (AWS/Azure/GCP) and AI deployment pipelines.
• Familiarity with MLOps, LLMOps, model monitoring, evaluation, and performance optimization.

Responsibilities

• Design and develop Generative AI solutions using Python, LLMs, RAG, 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.

Skills

Python development

Backend engineering

LLMs

RAG

Agentic AI

LangChain

LangGraph

Vector Databases

SQL

Data Engineering

ETL

Cloud platforms

MLOps

LLMOps

Model monitoring

Performance optimization

Tools

LangChain

LangGraph

Vector Databases

AWS

Azure

GCP

Job description

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. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Your RoleDesign and develop Generative AI solutions using Python, LLMs, RAG, 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.Your ProfileStrong experience in Python development and backend engineering.Hands-on experience with LLMs, RAG, Agentic AI, LangChain, LangGraph, and Vector Databases.Strong knowledge of SQL, Data Engineering, ETL, and data processing frameworks.Experience with cloud platforms (AWS/Azure/GCP) and AI deployment pipelines.Familiarity with MLOps, LLMOps, model monitoring, evaluation, and performance optimization.What you will love about working hereYou can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.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.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. 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.Make it real | www.capgemini.com