Description
Responsibilities
RAG Architecture & Pipeline Design

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

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

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

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

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

§ Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that can inform business decisions.
Technical Leadership

§ Lead code reviews, ensuring adherence to coding standards, best practices, and quality requirements.
§ Act as a technical point of contact for complex database issues, offering solutions and recommendations to resolve them.




Project Coordination and Stakeholder Collaboration

§ Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.
Quality Assurance and testing

§ Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing.
Continuous Improvement

§ Stay up-to on the latest tools, techniques, and best practices.
§ Identify prospects for process improvements, optimizations, and automation.
Documentation and Standards

§ Ensure adherence to data governance and regulatory requirements, including security and compliance standards.
Contributing Responsibilities
Design, develop, implement and maintain AI/LLM products to solve specific business use cases.
Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI featu

📌 Senior Software Engineer Mumbai
🏢 Infotel UK
📍 Mumbai