Python Full Stack AI

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 calling, AI workflows, and agent orchestration.
Ensure AI solutions meet security, privacy, governance, and responsible AI standards.
Optimize AI model performance, latency, scalability, and cost.
Collaborate with product managers, architects, and data scientists throughout the software lifecycle.