You will also need people who can fine-tune models, implement RAG pipelines, and evaluate whether the model is behaving the way you expect. You will need people who are looking into AI security. AI operations – deploying, monitoring, and managing AI systems in production – will be a significantly different specialty within AI operations. It’s difficult to hire precisely for these areas of expertise. You’re best off looking for candidates who work in specialties like data science or IT operations and australia whatsapp number data probing them to see how they’re thinking about AI. Don’t try to hire someone with experience “building RAG applications.” Look for data engineers who build and manage data pipelines and ask them how AI fits into their future.
You’ll also need to look at your own staff. Who is interested in AI? Who’s looking for a new role? Some of your top people are no doubt thinking about AI already. Some of them may even be looking for jobs elsewhere. Give them the opportunity to be loyal to you, and you’ll be more likely to retain them.
Beyond possessing this technical expertise, prospective employees must realize that AI is a new area that’s changing very quickly. The best thing you can do is develop a portfolio: Some projects that use AI to do something different or interesting. They can be personal projects. They don’t have to align with the interviewers’ needs–the interviewer may not know what they need.