Generative AI & LLM Engineer

Key Responsibilities - Design and develop Generative AI and LLM-based applications. - Build AI chatbots using RAG architecture. - Implement prompt engineering techniques. - Integrate LLMs with APIs and databases. - Develop AI workflows using LangChain or LlamaIndex. - Work with vector databases for semantic search. - Fine-tune and optimize LLMs for business requirements. - Evaluate AI model accuracy and performance. - Deploy and maintain AI applications in cloud environments. Required Skills - Strong knowledge of Python programming. - Hands-on experience with Generative AI and LLMs. - Expertise in prompt engineering and RAG. - Knowledge of LangChain or LlamaIndex frameworks. - Experience with vector databases such as FAISS, Pinecone, or Chroma. - Understanding of embeddings, semantic search, and NLP. - Experience with REST APIs and database integration. - Knowledge of OpenAI APIs and open-source LLMs. - Familiarity with cloud platforms such as AWS, Azure, or GCP.