AI Expert in Global Multilingual Search and RAG

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

• PhD degree in Computer Science or other related fields.
• 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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