CJ Olive Young Introduces AI Assessments in Developer Recruitment

CJ Olive Young has announced an open recruitment for experienced developers, incorporating an 'AI assignment' into the selection process.

Traditionally, Olive Young employed live coding assessments, requiring candidates to implement code in real-time. With a focus on discovering AI talent, the company is shifting to an 'AI assignment' phase designed to validate AI capabilities more comprehensively. This transition reflects the growing importance of possessing 'AI literacy' and the ability to solve problems collaboratively with AI technologies, positioning these as key competitive advantages.

Overview of the AI-First Track Recruitment

- Recruitment Schedule: July 20, 2026 (Monday) 17:00 to August 9, 2026 (Sunday) 23:59
- Positions and Descriptions:
• Commerce Platform Engineer (0 positions): Innovations in UI/UX and enhancements in architecture for AI-based Olive Young platforms, both domestically and internationally.
• Core Platform Engineer (0 positions): Development and optimization of highly efficient core engines from an AI-native platform perspective.
• AI Recommendation System Engineer (0 positions): Creation of personalized AI business models based on the characteristics of the K-beauty market.

- Eligibility Requirements: Minimum of 2 years of relevant experience.
- Selection Process: Document review – AI assignment – First interview – Online personality test and second interview.
- Application and detailed requirements available on CJ Olive Young's recruitment blog.

During the AI assignment phase, Olive Young will utilize the recruitment and assessment solution 'Cofa-Probe' developed by Krafton. This phase will involve a multi-faceted evaluation of candidates based on their final submissions, including the problem definition approach, AI deployment, prompt crafting process, iterative improvement methods, and validation techniques.

Additionally, Olive Young is collaborating with Krafton to host an 'AI Hackathon' on the 30th to nurture and identify AI talent. Participants will be required to solve AI assignments presented by both Krafton and Olive Young within a specified timeframe. The case provided by Olive Young will involve real-world challenges from the retail environment, integrating customer, product, and data elements. Winners of the hackathon will receive a total prize of 10 million KRW, and successful candidates in Olive Young's project will benefit from expedited passage through the document review phase in the recruitment process.

An Olive Young representative emphasized, “Given the paradigm shift in the development environment, we have proactively adapted our talent identification methods. Through the newly introduced AI assignment phase, we aim to discover and cultivate 'AI-native' talent to continuously drive innovation in retail technology.”