Newton (CA) interview questions

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.