Overall Experience The recruitment process was smooth, structured, and professional. The panels focused on evaluating core engineering fundamentals, problem-solving capabilities, and the practical application of modern AI technologies within enterprise systems.  Round 1: Technical Interview Core Fundamentals: Deep-dive into Data Structures & Algorithms (DSA), Object-Oriented Programming (OOP) concepts, and SQL. Systems & Deployment: Technical discussion on full-stack project architectures, backend infrastructure management, and containerization using Docker. Round 2: Hiring Manager Round Advanced AI Topics: Discussion centered around specialized machine learning pipelines, Retrieval-Augmented Generation (RAG) concepts, and multi-agent framework orchestration.  Academic & Project Background: Detailed review of my Integrated M.Tech academic foundation, published IEEE research paper, and experience handling optimization challenges in competitive engineering environments. Round 3: HR Round Cultural Fit: Focused on team collaboration, adaptability, communication skills, and long-term career alignment within a global product R&D ecosystem.