A Generative AI Expert designs, develops, and deploys AI systems that can generate content such as text, images, code, audio, and video using advanced models like LLMs (Large Language Models) and diffusion models. They work with technologies such as OpenAI APIs, Google AI, Microsoft Azure AI, and open-source frameworks like Hugging Face. Key Responsibilities Develop AI-powered applications using LLMs (GPT, Claude, Gemini etc.) Fine-tune models using domain-specific data Build prompt engineering strategies Implement RAG (Retrieval-Augmented Generation) Deploy AI models using cloud platforms (AWS, Azure, GCP) Optimize AI performance, latency, and cost Ensure AI ethics, bias mitigation, and data privacy compliance Integrate AI with web/mobile applications via APIs Required Skills Technical Skills Python (must) Machine Learning & Deep Learning NLP (Natural Language Processing) Transformers & LLM architecture Prompt Engineering LangChain / LlamaIndex Vector Databases (Pinecone, FAISS) API Integration Docker & Cloud Deployment Tools & Platforms OpenAI API Hugging Face TensorFlow / PyTorch Azure AI Studio AWS Bedrock