"Find me a manager-level candidate with more than two years of experience handling university hospitals, a background in medical equipment sales, and a salary in the 70 million won range."
When a human resources manager issues such a command to artificial intelligence (AI) in natural language, the most suitable candidate is selected from hundreds of resumes in mere seconds. This is the change brought about by the emergence of recruitment-specialized "AI agents" that understand the intent of HR managers and directly carry out tasks.
Domestic HR tech firms are responding swiftly to this shift, judging that the use of AI agents will become a necessity rather than a choice in the future hiring market. Furthermore, the prevailing outlook is that the quality of recruitment AI agent services will be the decisive factor shaping the industry landscape.
Saramin: "Hyper-Personalized AI Assistant, from Job Postings to Hiring Strategies"
Saramin launched its "Career Matching Agent" in March this year. The service is a hyper-personalized AI assistant that provides job seekers with everything from optimal job opportunities to hiring solutions. When the phrase "marketing, entry-level, salary above 40 million won, work in Seoul" was entered into the service, the AI grasped the intent and recommended six job postings.
When the user indicated interest in applying to one of the recommended postings, the AI evaluated job match rates and qualification fulfillment levels. Along with an analysis of the job seeker's strengths and weaknesses, it offered a hiring strategy, suggesting, "Since the resume lacks specific experience in performance marketing, emphasize projects in which you planned and operated digital advertising campaign materials."
Saramin's "Career Matching Agent" has the advantage of reducing job seekers' preparation time. Users no longer need to set search filters one by one or repeat searches as before. When queried, the agent provides corporate information such as revenue, profit and loss, and number of employees, along with personalized hiring strategies.
Saramin is also preparing an AI agent for corporate HR managers. When an HR manager tells the AI agent the desired conditions, the AI assists throughout the entire recruitment process, including candidate search, posting creation, and screening operations. The AI agent reviews resumes and automatically offers job opportunities to the most suitable candidates.
"We are conducting research and development on an enterprise AI agent service aimed at this year's launch, which will enhance the convenience of HR managers' work," a Saramin official said.
Workspear: "Reading Decades of Data, from Part-Timers to Executives"
Workspear declared its transition into an "AI-based HR tech group" at a conference in January this year marking its 30th anniversary. At the center of this transition is its AI agent strategy. The core idea is to create an AI agent that combines text information from job seekers' resumes, behavioral data, and corporate data to comprehensively understand the context of people and work.
Workspear's key strength is "data." By integrating data from Albamon and JobKorea, it weaves a job seeker's career into a single coherent narrative. Qualitative data based on actual experience, such as company reviews and interview reports from Jobplanet, are also incorporated into the AI matching engine.
"Over the past 30 years, we have accumulated more than 24 million resumes and job postings, along with hundreds of millions of application records and behavioral logs," a Workspear official said. "This is data that contains the context of how people applied and what criteria companies used to select them, giving it a depth that general-purpose AI cannot replicate."
Workspear is developing AI agents utilizing such data. Its "Talent Agent" allows HR managers to describe desired candidates in natural language, after which the AI analyzes the context, recommends suitable candidates, and explains the reasoning. Along with the "Career Agent" for job seekers, it is being prepared for launch within the first half of the year.
"We plan to evolve in a way that understands the context of a job seeker's entire career, while also incorporating a company's recruitment situation and organizational culture to find two-way compatibility," a Workspear official said.
Wanted Lab: "Applying AI Agents Across Business Operations Through AX"
Wanted Lab launched its "Recruitment Agent" for HR managers in October last year. When HR managers enter conditions in natural language, such as "front-end developer with more than three years of React experience and TypeScript skills," the AI finds the optimal candidates. The service offers "basic search," which is fast and wide-ranging, and "advanced search," in which AI analyzes qualitative data such as self-introductions and project experience.
There is also the "Wanted Agent" for job seekers. It includes features that help job seekers explore positions, as well as features that assist with resume writing and interview preparation. The latter is notable for analyzing patterns in successful resumes and suggesting improvement points across eight categories, including career description methods and project composition.
Going a step further, Wanted Lab launched "Ennoia" on the 15th, a platform that allows companies to build and operate AI agents themselves. It expands "Wanted LaaS," previously used by developers, into a general-purpose platform that can be used by all job functions, including marketing, HR, and sales. The platform supports corporate members in directly building AI agents across business processes and applying them in practice.
"Ennoia" is expected to become Wanted Lab's next-generation core growth driver. Wanted Lab, which started as a recruitment platform, has identified its AI transformation (AX) business as a future revenue source. The company has also set a goal of achieving a 1:1 revenue ratio between its recruitment business and AX business this year. Most recently, it has been promoting an "Enterprise AX Integrated Support Package" business, which provides AI training and hands-on experience for corporate members, infrastructure development through Ennoia, and management of employee competencies.
