AI Engineer Mock Interview with Gensoku Devs

This is not a quiz on prompt templates or AI buzzwords. This is a full 90-minute AI Engineer Mock interview where you get real engineering questions and problems, build and explain a solution live, and get evaluated exactly the way an actual interviewer would evaluate you.

Questions can be around:

1. Anything that comes under AI Engineering: Obviously I can't tell you the things I can ask. But as a hint, you should know that AI Engineering is not just about making an LLM API call or stitching together a basic LangChain tutorial.
2. Your resume

What I evaluate:

• Your ability to handle open-ended questions and edge cases (hallucinations, structured outputs, latency, retries, token/context limits, evaluation)
• The questions you ask before you start coding
• Code quality, structure, and readability
• How much depth & breadth you prepared for (RAG internals, embeddings, tool calling, agent control flow, and core backend/coding fundamentals)

Interview environment:

• We will use shared Google Docs (or your local IDE when required) for coding
• Screen share: ON
• Camera: ON Come with your setup ready before the session starts.

Who this is for:

• Developers preparing for Applied AI / AI Engineer tech interviews
• Freshers, backend/full-stack devs, and career-switchers targeting AI SDE roles
• Engineers who want real interview pressure and honest feedback, not just theoretical Q and A

Note: This session is only for 0-3 YoE candidates. You should be comfortable with coding (Python or TypeScript/Node.js) and AI engineering basics before booking. Feel free to choose your preferred stack/SDK. This session is for practice and feedback, not for learning fundamentals from scratch.