tbh pretty straight forward nothing very confusing
Process:
The interview process consisted of 3 rounds:
1. HR Screening – Basic background discussion, current role, expected CTC, and availability.
2. Technical Round (AI/ML + System Design) – In-depth discussion on past projects, LLM pipelines, RAG architecture, vector embeddings, scaling, and deployment.
3. Product / Hiring Manager Round – Scenario-based problem solving, culture fit, and product thinking.
Experience Summary:
The overall interview process was well-structured and professional. The interviewers were friendly and focused mainly on real-world implementation experience instead of theoretical questions. Communication was transparent, and the scheduling was smooth. The process took around 1 week from application to final feedback.
Tip for future candidates:
Focus on practical knowledge of AI workflows, hands-on project experience, and end-to-end architecture explanations. Be prepared to explain your past projects deeply, including challenges and optimizations.
Interview questions [1]
Question 1
Design a Retrieval-Augmented Generation (RAG) system and optimising there solutions
I applied through a staffing agency. The process took 1 week. I interviewed at Newton (CA) (Bengaluru) in Sept 2022
Interview
Nice interview was it and I got to learn so much and it was one of the tough interviews I have been to if you want to get a good interview questions then you need to attend it
I applied online. I interviewed at Newton (CA) (Santa Clara, CA) in May 2019
Interview
Over the phone interview. Quick, Short nothing too difficult, which then led to an in person interview. Process took less than a week and it went by smoothly. Email was the main form of communication before the interviewing process.
Interview questions [1]
Question 1
Tell me about yourself?
What do you expect from us?
