Python Full Stack AI
Summary
Build and deploy AI-powered assistants, chatbots, and autonomous agents using LLMs, RAG, and vector databases, while integrating APIs and fine-tuning models for enterprise use.
Key Responsibilities Design, develop, and deploy AI/ML and Generative AI applications. Build AI-powered assistants, copilots, chatbots, and autonomous AI agents. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications. Fine-tune, evaluate, and optimize foundation models for business use cases. Develop REST APIs and microservices for AI applications. Implement prompt engineering, function cal…