Capgemini Looking For GenAi For Pune/Gurgaon Location

Capgemini; Pune District, Gurugram District; Hybrid; INR 1,600,000 - 2,400,000; Full time

Job summary

Capgemini in Pune district, Maharashtra, invites a Python + GenAI Engineer to develop and optimize Generative AI solutions for enterprise applications. You will work on LLMs, RAG pipelines, and AI-powered workflows, delivering robust AI capabilities with clean code and thorough testing.

You will design prompts, fine-tune models with LoRA/QLoRA, and deploy solutions on cloud and container platforms, while upholding Responsible AI and data governance standards.

Qualifications

• Proficiency in Python, OOP, and building robust APIs.
• Strong problem-solving with data structures and algorithms.
• Hands-on experience with LLMs, prompt engineering, RAG, and embeddings.
• Knowledge of vector databases and retrieval architectures.

Responsibilities

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design prompts and fine-tune models with LoRA and QLoRA.
• Develop REST APIs and integrate AI capabilities into enterprise apps.
• Deploy, monitor, and maintain AI solutions in cloud and containers.
• Ensure code quality through testing, debugging, and documentation.
• Follow Responsible AI, security, and data governance practices.

Skills

Python

OOP

APIs

Debugging

DS&A

Tools

LangChain

LangGraph

LlamaIndex

Hugging Face

Job description

Python + GenAI Engineer

Your Role

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Ensure code quality through testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.

Your Profile

• Strong proficiency in Python, OOP, APIs, debugging, and software development best practices.
• Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.
• Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.
• Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.
• Experience with PyTorch, TensorFlow, or Keras.
• Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).
• Understanding of AI governance, data privacy, and Responsible AI principles.