Quick Answer: Ask about production experience, failed projects, data handling approaches, model evaluation methods, and how they stay current with rapidly evolving AI technology. Focus on practical experience rather than theoretical knowledge.
Start with project-based questions. Ask the candidate to describe their most challenging AI project in detail. What was the problem? How did they approach data collection and preprocessing? What model architecture did they choose and why? How did they measure success? A strong candidate will provide specific, detailed answers that demonstrate deep engagement with the work.
Probe their understanding of the full AI lifecycle. Many developers can build models but struggle with deployment, monitoring, and maintenance. Ask about their experience with MLOps tools, model versioning, A/B testing in production, and handling model drift. These questions separate developers who have shipped real products from those who have only worked in research environments.
Ask about failure. "Tell me about an AI project that did not work as expected" is one of the most revealing questions you can ask. Strong candidates will have honest answers about projects that failed due to data quality issues, overfitting, or misaligned objectives. They will demonstrate what they learned and how they would approach the problem differently.
For GCC-based businesses, include questions about domain-specific challenges. Ask how they would approach building AI solutions for markets like Qatar or Saudi Arabia, considering factors like Arabic language processing, regional data availability, and local regulatory requirements. Their answers reveal both their domain thinking and their interest in your specific context.
Communication ability is critical. Ask the candidate to explain a technical AI concept as if speaking to a non-technical business stakeholder. Their ability to simplify without distorting is a strong indicator of how effectively they will collaborate with your broader team. Louis Innovations emphasizes this skill in their developer screening process for GCC clients.