Tiger Analytics AI Engineer interview questions

1st round DSA, 2nd round ML/DL Questions. RAG Architecture, Agentic AI, Deployment, AWS Questions, Azure Cloud . Factorial finding problems, 3 sum coding problem. Types of deployments, deployment roll back

I went through three technical rounds, each focused heavily on my past projects, especially my RAG pipeline, embeddings, data updates, and chatbot architecture. The discussions were detailed and scenario-based, covering preprocessing, chunking, vector databases, retrieval flow, evaluation, and production troubleshooting. Despite performing well and answering most questions clearly, I was informed afterward that I was “not shortlisted,” with no feedback provided. The entire process lasted almost three hours, and although the interviewers were polite, the lack of closure or guidance made the experience less positive.