Genesislab Plans 2025 Launch of an End-to-End Recruiting AI Agent

Edaily reports that Genesislab is developing a recruiting-focused AI assistant for 2025 launch, automating job postings through candidate shortlisting. The article also details the ROK Army's four-year deployment of ViewinterHR as a first-round AI interviewer.

Share
Genesislab Plans 2025 Launch of an End-to-End Recruiting AI Agent

Source: Edaily (이데일리) — AI Now in ROK Army Officer Recruiting: Genesislab to Launch a Recruiting-Focused AI Assistant Next Year Original in Korean

Edaily covered the Republic of Korea Army’s AI-interviewer deployment alongside Genesislab’s next-generation product roadmap.

The ROK Army has been running ViewinterHR in its officer and non-commissioned officer recruiting process for roughly four years. The structure is sequential: the first-round assessment is handled by the AI interviewer, and the second round is conducted by human interviewers. The shift reduced the number of interviews per candidate from three per day to two. ViewinterHR analyzes each applicant’s resume to structure the domain knowledge, skills, attitudes, and experience relevant to the role, then generates tailored interview questions.

Yook Geun-sik, Head of HR Business at Genesislab, put the case plainly: “Historically we had to place different interviewers in different rooms to assess different dimensions. AI, being a machine, delivers consistency, and that consistency is what secures fairness and objectivity.”

Genesislab’s next step is a recruiting-focused AI assistant that automates the full pipeline, from posting a job opening to shortlisting candidates. Built on generative-AI agent technology layered into the existing product, the assistant will carry out each step of the process itself. The commercial launch is planned for next year.

Launch timing and feature-level details are available in the original article.

Read more

The Craft of Multi-Agent Collaboration Design

The Craft of Multi-Agent Collaboration Design

싱글 LLM의 한계를 넘어서는 멀티에이전트 시스템(MAS)은 단순한 역할 분담이 아니라, 구조·협업·커뮤니케이션 설계를 통해 창발적 지능을 만들어내는 아키텍처다. 이 글은 토폴로지, 협업 전략, 동적 오케스트레이션, 커뮤니케이션 프로토콜 등 실제 프로덕션 환경에서 MAS를 설계할 때 필요한 핵심 기술과 트레이드오프를 구체적으로 다룬다.

Multi-Agent 협업 설계의 기술

Multi-Agent 협업 설계의 기술

싱글 LLM의 한계를 넘어서는 멀티에이전트 시스템(MAS)은 단순한 역할 분담이 아니라, 구조·협업·커뮤니케이션 설계를 통해 창발적 지능을 만들어내는 아키텍처다. 이 글은 토폴로지, 협업 전략, 동적 오케스트레이션, 커뮤니케이션 프로토콜 등 실제 프로덕션 환경에서 MAS를 설계할 때 필요한 핵심 기술과 트레이드오프를 구체적으로 다룬다.