Responsibilities

1. RAG Architecture & Pipeline Design

§  Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases AI responses. 

1. Vector Search & NLP

§  Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features. 

1. MCP Server Development

§  Design and deploy MCP to bridge LLM with existing Data sources for real-time Retrieval. 

1. Generative AI Integration

§  Utilize LLMs to synthesize retrieved data into accurate, user friendly natural language responses. 

1. Performance Optimization

§  Evaluate and optimize the end-to-end latency of search and generation. 

1. Data Analysis