Finding and recognizing qualified software engineers has never been easy. Recruiters and hiring managers often spend a lot of time manually reviewing resumes and assessing technical skills in pursuit of a perfect candidate.
Traditional evaluation methods often lead to human error and unconscious biases while making the process tedious and time-consuming. Being more than a decade on the market, we at Bridge know the ins and outs of the hiring market and can confirm ‒ no one can do the job without extra tools. For example, we use an automated sourcing engine that makes the outreach 5 times faster compared to manual sourcing.
In addition to automated sourcing, there is a great number of AI vetting tools to speed up the process and make it more efficient. The first smart system that comes to mind is ChatGPT, which is also an effective solution for tech hiring. Such tools are designed to help you assess technical skills, identify top candidates, and minimize biases, ultimately leading to more effective hiring campaigns.
Below, we will look at the most popular AI software and find out whether you can trust them. But before that, let’s discuss why AI vetting tools are needed at all.
Why use AI vetting in the recruitment process
Implementing AI vetting in the recruitment process is a strategic move, especially when you have to deal with a substantial number of candidates. Manual screening processes are lengthy and resource-intensive since CVs often lack comprehensive or accurate information about candidates’ hard and soft skills. AI vetting tools address this challenge by swiftly analyzing large volumes of data, saving much time and resources.
What’s more, AI software can understand and evaluate the hard skills mentioned in resumes, providing a more accurate assessment of candidates’ qualifications and, therefore, shortlisting candidates in a matter of minutes. It streamlines the screening process and reduces the risk of overlooking essential technical competencies.
Lastly, AI can play a crucial role in mitigating skills mismatches. When comparing job descriptions with CVs, AI-driven tools ensure alignment and identify candidates whose skills closely match the specific requirements of the software engineering position. That’s why, we can claim that the adoption of AI vetting tools optimizes the efficiency and effectiveness of the recruitment process, leading to better outcomes and improved candidate selection.
Most popular AI vetting tools
Although you can find a vast variety of AI vetting platforms, not all of them are the same. When picking the tool for your hiring campaign, pay attention to details. For example, make sure the chosen platform highlights high accuracy and can be integrated with your ATS, job board, or other tools you might use. For a better understanding, let’s look at some AI tools and analyze their capabilities for specific purposes.
COGBEE is an AI-powered platform designed to streamline the recruitment process with smart screening and interviewing. The solution works great for technical hiring, volume hiring, skill benchmarking, and contract staffing.
Apart from live video interviewing, COGBEE offers an on-demand interviewing feature (candidates record their interview responses and send them to interviewers) that is convenient for both the interviewer and the candidate. What’s more, the platform allows users to create code challenges and customizable skill-based tests for online and offline assessments.
We can’t but mention one more feature ‒ AI-enabled remote proctoring which provides a comprehensive report of any attempts of a candidate to cheat or use undesirable practices during online assessments or on-demand video interviews.
Another software on our list is Humanly, a conversational AI platform for high-volume hiring that helps automate screening, scheduling, and communication. The system can automatically vet and schedule applicants, as well as answer their questions via an AI-powered FAQ bot. It helps significantly reduce time spent on resolving candidates’ questions and requests. Also, Humanly seamlessly synchronizes notes, records, transcripts, and insights with your current ATS.
With an intelligent AI interview assistant, the hiring campaign becomes faster and more efficient compared to manual operations. For example, an AI-powered assistant can automatically take notes during the interview, generate summaries, and send follow-up emails, while saving time for recruiters.
Manatal is all-in-one recruitment software that helps HR teams, recruitment agencies, and headhunters speed up screening and hire top talent. The platform uses machine-learning algorithms to identify candidates that perfectly match project requirements. From sourcing to screening and onboarding, Manatal covers key stages of the hiring process.
The platform offers a comprehensive suite of tools for talent acquisition. Manatal enables recruiters to source candidates from diverse channels, including job boards and professional networking platforms like LinkedIn. It facilitates tracking of recruitment metrics and key performance indicators (KPIs) to enhance the hiring process.
Using AI-powered tech, Manatal can generate instant job descriptions, analyze them and match them with the talent pool. Besides, the system evaluates candidates against job requirements and automatically ranks them based on the selection criteria. Overall, Manatal streamlines and optimizes various aspects of recruitment, making it a valuable resource for efficient and data-driven talent acquisition.
CodeSignal is a technology platform that focuses on assessing and improving coding skills. It provides a variety of tools and features designed for both individual developers and companies looking to evaluate technical talent. CodeSignal is particularly known for its coding challenges, interview practice sessions, and coding assessments.
CodeSignal provides an advanced Integrated Development Environment (IDE) that simulates real-world development scenarios. It helps enhance the evaluation process, providing a realistic experience for both candidates and interviewers.
Additionally, the platform offers a vast array of prebuilt, research-backed evaluations tailored for challenging technical roles that are often difficult to fill. With a library featuring over 4,000 prebuilt questions, CodeSignal supports assessments in more than 70 coding languages, frameworks, and libraries, making it a versatile solution for assessing technical proficiency across various domains.
HackerEarth Assessment is a platform designed by HackerEarth, a technology company that offers solutions for technical recruitment and skills assessment. It helps recruiters streamline their hiring processes and build winning teams effectively.
The platform allows companies to create and customize coding assessments based on their specific requirements. It also offers a library of 17,000 questions to test candidates’ technical proficiency with no hassle. One more feature to mention is AI-powered proctoring, which disables “copy-paste” and tab switching during online coding tests in the HackerEarth IDE. The platform may also generate detailed skills reports and analytics to help recruiters and hiring managers make informed, data-driven decisions.
Challenges associated with AI vetting for tech engineers
While integrating AI tools into the hiring workflow offers numerous benefits, you should also be aware of bottlenecks and challenges that can impact their effectiveness. Let’s name some of them:
- Potential bias. AI systems for vetting engineers can inherit biases present in the training data, potentially resulting in discriminatory outcomes against certain groups based on race or gender.
- Complex configuration. The setup and fine-tuning of AI systems for vetting can be intricate, requiring specialized expertise and resources.
- Transparency concerns. The lack of transparency in algorithmic decision-making poses challenges, when candidates and even hiring managers struggle to understand how decisions are reached, making it difficult to address any issues or challenges that arise.
- High implementation costs. The adoption of advanced AI solutions in the hiring process may come with substantial financial implications, posing challenges, especially for smaller businesses with limited budgets.
Find and engage with the right talent with Bridge
AI vetting tools undoubtedly offer efficiency gains in certain aspects of the hiring process, but they lack the understanding, empathy, and contextual interpretation that humans bring to the table. That’s why organizations should view AI vetting as a valuable tool, enhancing efficiency and objectivity, but not as a comprehensive substitute for a human. That’s actually what we do at Bridge ‒ our experienced sourcers use an automated data engine as a complementary tool to find and screen top engineers.
In brief, we offer two types of services ‒ IT staffing (when you need to find and hire engineers for the current project) and sourcing-as-a-service (when you need a list of pre-vetted developers for future hires). In both cases, we can’t do without our tech-savvy recruiting managers. When our sourcing engine identifies the exact talent pool based on the client’s requirements, our recruiters validate the candidates’ information, communicate with candidates in their native language, answer any questions they may have, and run additional high-level screening if necessary. You will only have to meet them for the final interview or keep a candidate in mind for future hiring campaigns.
Find and hire top-tier talent with Bridge!