How will LLMs impact recruiting?

Question

Hiring is sooooo hard 😤. Finding and selecting the right candidate is time consuming and challenging. Interviewing is a long and intense journey for the hiring team and the applicant.

How do you use (or would want to use) the latest advancement in AI to help you in hiring? 💡

Robert Mao · Accepted Answer

Could it be possible in the future, your recruiting bot is automatically reading some resume generated by candidate's bulletin points.... and your AI bot summarize them in to bulletins... so essentially LLM's impact is 0. Ofcoz, this is a joke. :)

I believe LLM can be very helpful for both candidates and recruiters, esp. for the hiring team to automatically screen the cv.

Answer

LLMs can be used to scan resumes, cover letters, and even LinkedIn profiles to identify the best candidates based on specific job requirements. They can help filter out unsuitable candidates and highlight potential matches, significantly reducing the time spent on the initial screening process. It can be trained to write more precise, comprehensive, and unbiased job descriptions. Also it can be used to keep candidates engaged throughout the recruitment process, answering their queries about the company, role, and recruitment process, or providing updates about their application status.

Kunal Mehta · Answer

LLMs (Large Language Models) will revolutionize recruiting in the edtech application by enhancing the candidate screening process. Their advanced natural language understanding and analysis capabilities will enable more efficient and accurate assessment of candidates' skills and knowledge. This will lead to better matches between employers and job seekers, streamlining the recruitment process, and ultimately improving overall hiring outcomes.

Michael Galluppo · Answer

Hi Gary, for different roles there might be different wants. For many engineering roles it might be nice for AI to help you generate interview questions based on a users domain expertise so to test the applicant are their understanding of the technologies they'll be developing on or more importantly troubleshooting the existing codebase as it's iterated on. For less technical roles the interview question generation might be helpful. I personally like to have a conversation while interviewing but having specific questions & exercises is helpful to really qualifier the user beyond conversational understanding. Rather you'd like to see true problem solving capacity.

An additional thought might be to have the AI listen to the interview & later transcribe the interview & pull out key points (or fact checks) to then generate the candidate hiring committee report. All those areas might be really helpful in the future to better qualify candidates.

André J · Answer

Quality recruiting won't change

André J · Answer

@gary159 If you want to hire the best, you do it through network or you just reach out to the best.

Michael Galluppo · Answer

@gary159 I only know of note taking tools like vowel & a variety of sales platforms that are aiming for the same thing with different use cases.

Gary Sztajnman · Answer

@sentry_co what do you mean exactly?

Gary Sztajnman · Answer

@galluppo Hi Michael, that's super interesting. Do you know anyone working on such product? "AI Listening to interviews"

How will LLMs impact recruiting?

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