- AI in recruitment helps automate resume screening and support interview and onboarding processes, reducing the burden on the HR team.
- AI in recruitment provides not only opportunities but also challenges, including bias, lack of transparency in decision-making, data privacy concerns, and the complexity of choosing the right solution.
- The advancement of AI has reshaped developer skill requirements, now increasingly including experience with AI-driven automation to enable faster software development.
It's impossible to deny that tech progress is moving fast and influencing all business functions, including HR and recruitment. To stay on track with modern standards, we have to integrate new tools into the hiring process, modify our criteria for searching and selecting candidates, and, of course, apply automation where it’s necessary.
In this article, I’ll explore how AI tools can be applied in recruiting, including insights and practical experience from Seedium.
How is AI Used in the Recruitment Process?
It’s a secret that the tech labor market has significantly changed lately due to the widespread use of LLMs. Now the companies are in a privileged position, because the number of potential candidates exceeds the number of open vacancies. However, this trend doesn’t mean that it has become easier to hire people.
Using AI for Resume Screening
Imagine opening a vacancy. After posting it, you can get about 100 applications per day and thousands per month. Mind-blowing number, isn’t it? So, after that, you have to scrutinize all the CVs and cover letters that you’ve got. That’s a lot of work for a recruiter.
For this purpose, we can’t do without an AI-based solution, which takes all these difficulties and speeds up the hiring process. Nevertheless, candidates are getting used to this and modifying their CVs in line with the position requirements. That is what increases their chances of passing a company's ATS and proceeding to the next interview step.
Seedium helped build such a solution for our client. AI Ignition is an AI-based platform that, on one side, helps users create ATS-friendly resumes, and on the other side, helps employers streamline and improve candidate ranking and selection.
Using AI in HR Interviews
AI is also used in HR interviews. Probably, you have seen some solutions like TestGorillas or HireVue. They serve for video prescreening or any form of the first touch with a candidate. The robot on the screen conducts the conversation and analyzes your face, movements, voice intonation, and, of course, answers. Based on this data, it assigns a ranking to your candidacy and sends it to the hiring specialist.
Opportunities and Risks of Using AI in Recruitment
As mentioned before, implementing automation solutions can save your HR team a lot of time. We can delegate some operational tasks, paperwork, CV screening, or the organization of the onboarding flow. LLMs may also be helpful with data search, validating some hypotheses, and generating fresh ideas.
As a result, HR managers can finally concentrate their attention on high-level tasks like strategy development, working with corporate culture, and employees’ skills.
At the same time, setting up specific technical tools in your organization doesn’t mean you don’t require people anymore. Unfortunately, tech adoption isn’t a silver bullet, and AI isn’t a supermind. We still have to control all the aspects of our interplay with machines.
Amazon’s Example
The Amazon company decided to develop its own solution and trained AI using their internal 10-year employment history. At that stage, everything looked nice. The algorithms screened CVs and chose the most suitable candidate for a role.
But after a while, recruiters noticed that the system regularly declined women's CVs, especially those containing some mentions about female clubs, colleges, and so on. So the system formed its own bias and wasn’t gender-neutral. That’s why Amazon closed that
project and returned to the classical recruitment process.
The Challenge of Choosing the Right Tool
Another problem is the wide spectrum of tools on the market. Sometimes, businesses struggle to choose one among others and spend a lot of time and money on adopting absolutely useless solutions.
In this context, I would recommend that business owners avoid chasing every emerging trend and instead focus on clearly identifying their core pain points. From there, they can either select suitable existing solutions or develop custom HR solutions. As an expert in this niche, Seedium can become your reliable partner.
Last but not least, considering the question of HR tech adoption, let’s not forget that we deal with people with specific needs like communication, trust, and empathy. Without human touch, your team would never work like a well-oiled machine.
How AI Has Changed Expectations around Developer Productivity and Skills?
AI has transformed the requirements for software engineers. While six months ago our clients were looking for specialists to perform without AI tools, now the vast majority of our requests contain mandatory experience with AI coding assistants.
In practice, developers have to improve their AI fluency by developing their:
- prompt engineering approaches
- output evaluation
- adaptive reasoning (knowing when to trust the model and when to override it)
- collaborative judgment (how to convert generated code into a team decision)
- product vision.
According to recent research by the World Economic Forum, by 2030, software engineers will stay in demand on the labor market, but the requirements for their qualification will be very different from the current ones.
At Seedium, we continuously adapt to this trend by strengthening our AI expertise and capabilities. Our engineers implement tailored automation solutions to streamline repetitive tasks within projects. This approach increases development efficiency while maintaining full control over output quality.
Wrapping Up
Companies can no longer afford to overlook AI-driven automation in recruitment if they aim to stay competitive and accelerate hiring. However, successful implementation requires a strategic approach: avoiding rushed decisions, defining clear objectives, and carefully selecting the most relevant solutions for their specific needs.
Also, you need to define which tasks can be automated and where human touch is still crucial. For example, AI is good at matching tech requirements, but cultural fit is something humans can validate better.
If you need custom HR software development services, feel free to contact us, and we’ll help you create a tailored solution that improves hiring efficiency, reduces manual workload, and enables faster, data-driven recruitment decisions.
