H
pending
Every AI Role Interviews Differently — Here's a Free Map for All Four
Grounded / Real
Inflated / Uruttu
Original Content
We’ve been receiving so many messages about how useful our open source "AI Interview Hub" has been, esp. the 10 AI system design questions!!
Do check it out if you’re currently interviewing, and share it with anyone else who might find it helpful.
The repository currently covers
- AI Product Managers
- AI Forward Deployed Engineers
- AI Strategists
- AI Engineers
Each role has different interview rounds, expectations, and common questions, so we’ve created a clear roadmap for each one. Since many of these roles are still new, we wanted to make this information easier to access.
We’ve included 10 real world system design use cases, with code for each one and guidance on how to approach the question. This is also where we see most candidates struggle, so I hope this section is especially useful.
For each of the system design questions we have a PM version and an engineer version so that you can focus on the same problem from different angles as well
⛳ Customer Support Agent
⛳ Enterprise Knowledge Assistant
⛳ Text to SQL Analytics
⛳ Invoice and Expense Decisioning
⛳ Underwriting Document Decisioning
⛳ Security and Compliance Agent
⛳ Coding Agent
⛳ Voice Support Agent
⛳ SDR Sales Agent
⛳ Clinical Scribe
Check out my GitHub repository, awesome-generative-ai-guide, or feel free to request a link in your email from the link below in the comments
Do check it out if you’re currently interviewing, and share it with anyone else who might find it helpful.
The repository currently covers
- AI Product Managers
- AI Forward Deployed Engineers
- AI Strategists
- AI Engineers
Each role has different interview rounds, expectations, and common questions, so we’ve created a clear roadmap for each one. Since many of these roles are still new, we wanted to make this information easier to access.
We’ve included 10 real world system design use cases, with code for each one and guidance on how to approach the question. This is also where we see most candidates struggle, so I hope this section is especially useful.
For each of the system design questions we have a PM version and an engineer version so that you can focus on the same problem from different angles as well
⛳ Customer Support Agent
⛳ Enterprise Knowledge Assistant
⛳ Text to SQL Analytics
⛳ Invoice and Expense Decisioning
⛳ Underwriting Document Decisioning
⛳ Security and Compliance Agent
⛳ Coding Agent
⛳ Voice Support Agent
⛳ SDR Sales Agent
⛳ Clinical Scribe
Check out my GitHub repository, awesome-generative-ai-guide, or feel free to request a link in your email from the link below in the comments
Validated Content
Accurate — matches the repository content closely.
- "AI Interview Hub" with 4 role tracks: AI Product Managers, AI Forward Deployed Engineers, AI Strategists, AI Engineers — confirmed exactly. The repo lists these same four role tracks (AI Engineer, AI Product Manager, Forward-Deployed Engineer, AI Strategist).
- "Each role has different interview rounds, expectations, and common questions" — confirmed. Every role folder breaks down a distinct rounds structure (e.g., AI Engineer has a take-home + system design emphasis; AI Strategist centers on a business case round).
- "10 real world system design use cases, with code for each one" — confirmed exactly. The repo describes 10 worked system-design cases, each shipping runnable, provider-agnostic code.
- "PM version and an engineer version for each" — confirmed exactly, matches the repo's stated format precisely.
- The 10 named use cases — all ten match the repo's actual case list one-for-one (customer support agent, enterprise research/knowledge assistant, text-to-SQL analytics, financial-ops/invoice decisioning, underwriting/document decisioning, security and compliance agent, coding agent, voice support agent, SDR sales agent, clinical scribe).
- "Open source" — accurate, it's a public GitHub repo.
No factual errors found — this post accurately represents its own repository's actual contents.