AI Engineer Interview Prep Platform

An interview preparation platform specifically for AI/ML engineers covering multi-agent systems, RAG, vector databases, and production AI architectures. Helps candidates practice real-world AI problems they'll face in technical interviews.

Demand for AI/ML engineering roles has exploded since 2023, and hiring bars have shifted dramatically — companies now routinely test candidates on RAG pipelines, vector store selection, and agent orchestration frameworks that didn't exist as interview topics two years ago, creating a genuine content gap that generic platforms like LeetCode and even Educative haven't filled. Interview Kickstart covers some ML system design but stays shallow on the production AI stack, so there's real white space for depth. The revenue band is plausible because candidates in this niche earn $200k+ and will pay $50–150 one-time or monthly without much friction, but the ceiling is low unless you build cohort programs or corporate licensing. The biggest risk is content decay — the AI tooling landscape moves fast enough that curriculum built around today's frameworks (LangChain, Pinecone, etc.) can feel stale within six months, and staying current requires ongoing expert involvement that kills margins at this revenue scale.