LAPRAS Adds New Feature to Support Hiring of AI Product Development Engineers, Demand for Which is Rapidly Expanding
LAPRAS Co., Ltd. has added an 'AI Product Development Experience/Orientation' label to the 'AI Skill Highlight' feature of its engineer recruitment service, utilizing AI to uncover potential AI talent.
📋 Article Processing Timeline
- 📰 Published: March 30, 2026 at 23:00
- 🔍 Collected: March 30, 2026 at 22:56
- 🤖 AI Analyzed: April 24, 2026 at 09:31 (586h 34m after Collected)
LAPRAS Co., Ltd. (Location: Shibuya-ku, Tokyo; CEO: Kentaro Someya; hereinafter "LAPRAS") has added a new "AI Product Development Experience/Orientation" label to the "AI Skill Highlight" feature, which uses AI to automatically identify and visualize candidates' potential skills and experiences, within its engineer recruitment service "LAPRAS". This enables the discovery of engineers capable of handling AI product development without overlooking them, including candidates with potential experience or orientations that are difficult to see from their work history alone.
Background
Against the backdrop of the rapid spread of generative AI, the demand for engineers capable of implementing and developing AI features for in-house products and systems is rapidly expanding. Companies strongly seek talent who can drive product development incorporating AI, not just those with coding skills, and the engineer recruitment market is undergoing a major turning point from "quantitative hiring to the selection of immediate-impact talent."
However, engineers with practical experience in AI product development are still rare in the market as a whole, and recruitment competition is intensifying. Therefore, the key to successful hiring is to discover candidates who are practically experienced in implementing or developing AI features or who have a strong orientation, without overlooking them, even if "AI product development" is not explicitly stated on their resume. It is not easy, even from an operational perspective, for recruiters to read through each candidate's work history and determine their degree of involvement in AI development.
Details of This Feature Addition
A new "AI Product Development Experience/Orientation" label has been added to the "AI Skill Highlight".
■ What is the "AI Product Development Experience/Orientation" Label?
AI analyzes the job summaries and work history information registered in "LAPRAS" and automatically assigns a label to candidates determined to have experience involved in the development of products or systems utilizing AI, or a strong orientation towards AI product development.
Currently, approximately 3,300 candidates registered in "LAPRAS" are identified as targets for this label (*), and they can be narrowed down and utilized from the candidate search screen.
*Calculated based on candidate data registered in LAPRAS as of March 2026 (LAPRAS research).
■ Utilization in Combination with Existing Labels
The AI Skill Highlight already provides the following three types of labels:
- People Management Experience: Candidates with experience in HR evaluation, compensation, and promotion decisions for team members.
- Engineering Li
Background
Against the backdrop of the rapid spread of generative AI, the demand for engineers capable of implementing and developing AI features for in-house products and systems is rapidly expanding. Companies strongly seek talent who can drive product development incorporating AI, not just those with coding skills, and the engineer recruitment market is undergoing a major turning point from "quantitative hiring to the selection of immediate-impact talent."
However, engineers with practical experience in AI product development are still rare in the market as a whole, and recruitment competition is intensifying. Therefore, the key to successful hiring is to discover candidates who are practically experienced in implementing or developing AI features or who have a strong orientation, without overlooking them, even if "AI product development" is not explicitly stated on their resume. It is not easy, even from an operational perspective, for recruiters to read through each candidate's work history and determine their degree of involvement in AI development.
Details of This Feature Addition
A new "AI Product Development Experience/Orientation" label has been added to the "AI Skill Highlight".
■ What is the "AI Product Development Experience/Orientation" Label?
AI analyzes the job summaries and work history information registered in "LAPRAS" and automatically assigns a label to candidates determined to have experience involved in the development of products or systems utilizing AI, or a strong orientation towards AI product development.
Currently, approximately 3,300 candidates registered in "LAPRAS" are identified as targets for this label (*), and they can be narrowed down and utilized from the candidate search screen.
*Calculated based on candidate data registered in LAPRAS as of March 2026 (LAPRAS research).
■ Utilization in Combination with Existing Labels
The AI Skill Highlight already provides the following three types of labels:
- People Management Experience: Candidates with experience in HR evaluation, compensation, and promotion decisions for team members.
- Engineering Li