Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Applied Intelligence Consulting (Singapore) via LinkedIn
AI Native Assistant | Multimodal Intelligence | Personalized Reasoning Systems
Location: Beijing/Shanghai (Relocation Support Provided)
Please note: Native or near-native Mandarin fluency is required due to extensive internal communication with stakeholders.
About The Role
We are building a next-generation AI Native Assistant designed to redefine how users discover information, make decisions, and interact with digital ecosystems in their daily lives. Our platform is powered by one of the world’s largest lifestyle and interest-driven content ecosystems, with hundreds of millions of users, massive multimodal behavioral datasets, and extremely high-frequency engagement scenarios. By combining large language models, multimodal understanding, contextual reasoning, and personalization technologies, we deliver highly intelligent and deeply contextual user experiences at scale. Our long-term vision is to build an AI companion capable of understanding user preferences, intent, memory, and real-world context across areas such as discovery, travel, dining, shopping, fashion, local experiences, and lifestyle decision-making.
We are seeking exceptional AI algorithms talent passionate about building AI assistant systems used by millions of users every day.
Key Responsibilities
- Build next-generation AI assistant capabilities involving reasoning, memory, personalization, and contextual intelligence.
- Design intelligent retrieval, ranking, and recommendation systems powering highly personalized assistant experiences at massive scale.
- Develop multimodal AI systems across text, image, video, voice, and conversational interaction.
- Improve long-context understanding, adaptive personalization, and user intent modeling across real-world interaction scenarios.
- Work on AI agents, conversational reasoning systems, and proactive recommendation capabilities.
- Explore next-generation human-AI interaction paradigms involving contextual awareness and AI-assisted decision-making.
- Optimize retrieval, inference, and online serving performance for large-scale real-time AI assistant workloads.
- Partner closely with engineering and product teams to rapidly iterate AI-native consumer experiences with global-scale impact.
Technical Focus Areas
- AI Assistants
- AI Agents
- LLM Applications
- Retrieval & RAG
- Recommendation Systems
- Search & Ranking
- Conversational AI
- Personalization Systems
- Multimodal AI
- Contextual Reasoning
- Memory Systems
- AI-native Consumer Applications
Preferred Background
We are particularly interested in candidates from teams such as:
- Meta AI, Instagram Discovery & Recommendation, Facebook Feed Ranking, Reels Recommendation, Messenger / WhatsApp AI
- Google Gemini, Google Assistant, Google Search, YouTube Recommendation
- Microsoft Copilot
- Amazon Alexa / Rufus
- Perplexity
- TikTok / ByteDance Search, Recommendation or AI Platform teams
- Other large-scale AI-native consumer product organizations
Strong Candidates May Also Come From
- AI assistant product organizations
- Conversational AI teams
- Recommendation and ranking teams
- Search and retrieval systems teams
- Multimodal AI product groups
- Personalization and user modeling teams
- AI-native consumer application environments
Requirements
- Strong foundation in machine learning and large-scale AI systems.
- Experience building production AI systems involving recommendation, retrieval, conversational AI, or personalization.
- Familiarity with LLM ecosystems, multimodal systems, or agent architectures preferred.
- Strong coding capabilities in Python, C++, or Java.
- Passion for building AI-native consumer products.
- Ability to thrive in highly product-oriented, fast-moving engineering environments.
- Native or near-native Mandarin fluency (spoken and written).
Why Join
- Opportunity to help shape one of the most ambitious AI Native Assistant products globally.
- Access to extremely large-scale real-world multimodal datasets and user interaction signals.
- Work on highly visible AI products serving millions of users daily.
- Strong engineering ownership with rapid iteration cycles and significant product influence.
- Collaborate with top-tier engineers, researchers, and AI product teams globally.
- Competitive compensation, relocation support, and long-term growth opportunities.
Source: Applied Intelligence Consulting (Singapore) careers (LinkedIn)