AI Engineer applicants have rated the interview process at KPMG with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 72.9% positive. This is according to Glassdoor user ratings.
Candidates applying for AI Engineer roles take an average of 8 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at KPMG overall takes an average of 28 days.
Common stages of the interview process at KPMG as a AI Engineer according to 2 Glassdoor interviews include:
Group panel interview: 33%
Skills test: 33%
Phone interview: 33%
Here are the most commonly searched roles for interview reports -
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
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.