Hiring Agentic AI Engineers?
This one question you could ask to separate the real talent from others.
Agentic AI engineering isn’t just about calling APIs or writing flashy prompts.
It’s about building real solutions that work for real users.
So, a question that could work is
“What edge cases did you solve while building the AI Agent?
This question is important because building an AI Agentic system is not a difficult task, but making it work for the edge cases and tradeoffs is the real deal
You want engineers who:
– can build for users, not just for a hackathon demo.
– can debug the problem, not just the code.
– can think in terms of systems, not just LLMs.
Additional things to check
– Combine Gen AI building blocks (RAG, vector DBs, guardrails, security, deployment etc.) like Lego masters
– Use AI coding Agents to ship faster, but know when to take the wheel themselves
– Learn deeply: Not just consuming YouTube videos but digging into papers and repos.
Great Agentic AI engineering isn’t about adding AI Agents everywhere, but about adding them where they truly move the needle.
