GENAI

Design, develop, and deploy Generative AI/LLM-based applications. Work with Python and frameworks such as LangChain, LangGraph, LlamaIndex, or similar. Develop RAG (Retrieval-Augmented Generation) solutions using vector databases. Integrate LLMs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, etc. Build prompt engineering, evaluation, guardrails, and model optimization workflows. Develop APIs and AI services using FastAPI/Flask. Work with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or Milvus. Implement AI solutions on AWS, Azure, or GCP. Collaborate with data scientists, software engineers, product teams, and business stakeholders. Ensure solutions meet requirements around security, scalability, performance, and responsible AI