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.