Editorial summary

The company is seeking an AI Expert specializing in Global Multilingual Search and Retrieval-Augmented Generation (RAG) to lead the development of advanced search solutions for international markets. The role involves addressing linguistic challenges such as code-switching in Southeast Asia, designing globally distributed RAG systems, and integrating localized AI agents to enhance cultural relevance. Key requirements include expertise in cross-lingual RAG, semantic alignment, and multilingual AI system architecture. The position offers a salary of 13,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/ai-expert-in-global-multilingual-search-and-rag-34180 first appeared in Job-Q.com on 24 Sep 2026]

As a Global Multilingual Search and RAG Expert, you will spearhead the technical evolution of our search kernel for international markets. You will tackle unique linguistic challenges such as code-switching in Southeast Asia, architect globally distributed RAG systems, and integrate localized AI Agents to create a differentiated, culturally-aware search experience.

Responsibilities:

• Cross-lingual RAG & Semantic Alignment: Lead the development of semantic alignment models for mixed-language scenarios
• Resolve consistency issues in semantic understanding across diverse multilingual environments.
• Design high-availability, low-latency global vector retrieval architectures.
• Optimize Cloud-Edge collaborative frameworks to ensure a seamless and consistent search experience across different geographic regions.
• Localized Ecosystem Agent Orchestration: Implement natural language triggering and deep information aggregation for third-party Agent frameworks.
• Build a localized service ecosystem within the search interface.
• Multimodal Global Search Innovation: Drive the deep fusion of multilingual vision and text within LLMs. Create differentiated search interaction experiences that reflect local cultural nuances in overseas markets.

Requirements:

• 3 years of experience in large-scale internet search or Q&A systems.
• Proven track record of building global search architectures.
• Experience leading the iteration of search kernels for major global internet products.
• Mastery of Cross-lingual Model Alignment, large-scale vector retrieval, and multi-source heterogeneous data fusion techniques.
• Experience collaborating with international teams.

Interested candidate please click "APPLY" to begin your job search journey.

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