Apr 11
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This video features a realistic mock interview for an AI Engineer role, structured like an actual technical round. The session covers practical AI engineering topics including model selection, system design, retrieval pipelines, evaluation strategy, trade-offs, and production considerations. You will see: How AI engineering interviews are structured The depth expected beyond theoretical knowledge How to approach LLM and RAG system design questions How interviewers probe reasoning and architectural clarity Common mistakes candidates make in AI interviews This is not a scripted Q&A. The discussion follows a real interview format with follow-up questions and deeper technical probing. If you are preparing for AI/ML, LLM, or applied AI engineering roles, treat this as a live practice session. Pause the video, attempt answers, and evaluate your own thinking before listening to the candidate’s response. Ideal for: AI Engineers preparing for product companies Engineers transitioning into LLM / GenAI roles Candidates targeting mid to senior AI roles Anyone serious about production AI systems Follow for More: Youtube : @thinkinmodels X : https://x.com/karthikvarma123 Linkedin : www.linkedin.com/in/karthik-varma-94698b56 For Mock Interviews and Personal Sessions: https://topmate.io/karthik_varma12/