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.
We regret to inform that only shortlisted candidates will be notified
.
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PERSOL Singapore Pte Ltd
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