It was On campus interview, There were 3 rounds. Round 1 include DSA question, Project and Internship discussion followed by round 2 asking questions based on the tech stack you used for your project (React.js preferably)
Interview questions [1]
Question 1
Fetch data from API exactly after 10 sec of inactivity
All about AI starting from projects of ai. Deployment of AI system, AI libraries in python. ML Ops.First Round was OA after clearing it then GD
At last, direct in person interview.
I applied online. The process took 1 week. I interviewed at KPMG (Petah Tikva) in Mar 2025
Interview
Home assignment - Build a Retrieval-Augmented Generation (RAG) architecture, integrating a vector database and an
embedding model, to power the backend of a Q&A application. Given several documents, the system should be able to deal with specific and general questions
Interview questions [1]
Question 1
Explain design choices, trade-offs, alternative approaches, and edge cases