Python GenAI Engineer

Capgemini is hiring a Python GenAI Engineer to develop and enhance Generative AI applications using Large Language Models and modern AI frameworks. The role focuses on building RAG pipelines, vector search, AI-powered workflows, prompt engineering, model fine-tuning, REST APIs, cloud deployment, and responsible AI practices. Key Responsibilities: - 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 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. - Ensure code quality through testing, debugging, documentation, and code reviews. - Follow Responsible AI, security, and data governance practices. - Work with modern AI frameworks and technologies to build enterprise AI solutions.

Required Skills: - Python - Generative AI - GenAI - Large Language Models (LLMs) - Prompt Engineering - Retrieval-Augmented Generation (RAG) - AI Agents - Embeddings - Vector Search - Vector Databases - Semantic Search - Hybrid Search - Retrieval Architectures - REST APIs - Object-Oriented Programming (OOP) - Data Structures and Algorithms - Complexity Analysis - Problem Solving - Debugging - Software Development Best Practices AI Frameworks: - LangChain - LangGraph - LlamaIndex - Hugging Face - PyTorch - TensorFlow - Keras Model Fine-Tuning: - LoRA - QLoRA - Model Fine-Tuning - Prompt Design Cloud & DevOps: - Docker - Git - CI/CD - Azure - AWS - GCP - Cloud Deployment - Containerized Environments Additional Skills: - AI Governance - Data Privacy - Responsible AI - Data Security - Testing - Documentation - Code Reviews - AI-powered Workflows