Python & GenAI Engineer

Capgemini is an AI-powered global business and technology transformation partner serving organizations worldwide. The company has nearly 60 years of history, around 420,000 employees across more than 50 countries, and provides services across strategy, technology, design, engineering, and business operations.

The Python & GenAI Engineer will develop Generative AI applications using LLMs and AI frameworks, with a strong focus on RAG pipelines, vector search, AI agents, and enterprise AI workflows. The role also involves building REST APIs, deploying AI solutions in cloud and containerized environments, and applying responsible AI and data governance practices.

• 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 using LoRA and QLoRA techniques.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Perform testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.

• Strong proficiency in Python, OOP, APIs, debugging, and software development practices.
• Good understanding of Data Structures & Algorithms and complexity analysis.
• 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 such as Azure, AWS, or GCP.
• Understanding of AI governance, data privacy, and Responsible AI principles.

• Educational qualification is not explicitly specified on the job posting.
• The position is listed for Experienced Professionals.
• Permanent employment in Bangalore, with flexible hybrid work arrangements.