Webelight

The interview was mainly focused on the candidate's resume and the technologies/projects mentioned in it. The interviewer asked questions based on the skills and projects I had listed, so it was important to have a proper understanding of everything written on the resume.

Questions included Python, AI/ML, Generative AI, LLMs, AI Agents and project-related concepts. They also went deeper into how the technologies mentioned in the projects actually work and how they were implemented.

For candidates mentioning LLMs, RAG, AI Agents, or Generative AI it is important to understand the fundamentals rather than just knowing the terminology. Be prepared to explain concepts such as what an LLM is, how LLM-based applications work, what RAG is, what AI agents are, how agents use tools, and how these concepts were applied in your projects.

The main takeaway from my interview was: whatever you write on your resume, make sure you actually know it properly. The interviewer can pick any skill, technology, project, or keyword from the resume and ask follow-up questions.