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Home»ADOPTION NEWS»SonicJobs Revolutionizes the Job Application Process Using AI
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SonicJobs Revolutionizes the Job Application Process Using AI

By Crypto FlexsSeptember 18, 20243 Mins Read
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SonicJobs Revolutionizes the Job Application Process Using AI
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Jessie A Ellis
18 Sep 2024 13:57

According to the NVIDIA blog, SonicJobs used AI agents to increase job completion rates from 5% to 26%.





SonicJobs, part of NVIDIA’s Inception program for startups, is revolutionizing the job search experience by leveraging advanced AI agents. According to the NVIDIA Blog, the company has significantly increased its job search completion rate, increasing it from just 5% to an impressive 26%.

AI Agents Improve Job Application Rates

In a recent episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed SonicJobs co-founder and CEO Mikhil Raja. Raja explained how the company’s AI agent allows candidates to fill out job applications directly on the recruiting platform without being redirected. Redirects are a common cause of job abandonment. This innovation solves a major pain point in the recruiting industry, where redirects result in a 70% bounce rate.

The AI ​​agent developed by SonicJobs integrates traditional AI with large-scale language models (LLMs) to understand and interact with job application web flows. Raja emphasized the importance of fine-tuning the underlying model to create a more impactful and scalable solution.

Technological innovations and benefits

SonicJobs’ technology not only benefits job seekers by streamlining the application process, it also offers significant benefits to employers. By reducing high bounce rates associated with redirects, employers receive more completed applications and improve their hiring metrics.

Raja noted that “the conversion from a paid click to an application received by an employer is the most important metric for job ads.” The industry-wide average for application conversion is just 5%, highlighting the impact of SonicJobs’ solution in driving that rate up to 26%.

The Evolution and Future of AI Agents

Raja also discussed the evolution of AI agents from AutoGPT to a more verticalized B2B solution. He shared insights on how SonicJobs realized the approach they needed to take with Agentic AI and the importance of an adaptive learning flywheel to scale AI agent technology.

The conversation also delved into the potential for SonicJobs’ Verticalized AI Agent solution to be applied to other vertical markets, demonstrating the broader applicability of this innovative technology.

Advice for Businesses

Raja advises companies currently trying to recruit, emphasizing the need for accuracy and the benefits of fine-tuning the underlying AI models. His insights provide a valuable framework for how AI can be used to improve the recruiting process across a variety of industries.

For more information, visit the NVIDIA blog.

Image source: Shutterstock


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