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Real stories from candidates who have interviewed at Yethi consulting. Learn from their verified experiences to prepare for your own internship or placement interview.
##Online Assessment The first round consisted of an online assessment focused on core Artificial Intelligence, Machine Learning, and Deep Learning concepts. The questions were primarily easy to medium in difficulty and tested fundamental theoretical understanding. ##Technical Round 1 The first technical interview was conducted by a Senior AI Engineer at Yethi Consulting. This round focused on discussing projects listed on my resume, along with basic Data Structures and Algorithms (DSA). There was a strong emphasis on problem-solving and writing clean, correct Python code. Additional questions assessed my foundational programming and logical reasoning skills. ##Technical Round 2 The second technical interview was conducted by the AI Team Manager at Yethi Consulting. This round was more specialized and focused on Retrieval-Augmented Generation (RAG) and its real-world applications. The discussion included conceptual questions such as the motivation behind using RAG, its advantages over standalone LLMs, and practical implementation considerations. I was also asked about my familiarity with popular frameworks, particularly LangChain and LangGraph, and how they are used in building RAG-based systems.
##Online Assessment The first round consisted of an online assessment focused on core Artificial Intelligence, Machine Learning, and Deep Learning concepts. The questions were primarily easy to medium in difficulty and tested fundamental theoretical understanding. ##Technical Round 1 The first technical interview was conducted by a Senior AI Engineer at Yethi Consulting. This round focused on discussing projects listed on my resume, along with basic Data Structures and Algorithms (DSA). There was a strong emphasis on problem-solving and writing clean, correct Python code. Additional questions assessed my foundational programming and logical reasoning skills. ##Technical Round 2 The second technical interview was conducted by the AI Team Manager at Yethi Consulting. This round was more specialized and focused on Retrieval-Augmented Generation (RAG) and its real-world applications. The discussion included conceptual questions such as the motivation behind using RAG, its advantages over standalone LLMs, and practical implementation considerations. I was also asked about my familiarity with popular frameworks, particularly LangChain and LangGraph, and how they are used in building RAG-based systems.
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