Senior AI Product Engineer（高级AI产品工程师） Location: Beijing / Shanghai (Relocation Support Provided) Please note: Native or near-native Mandarin fluency is required due to extensive internal communication with stakeholders. Overview: We are building a next-generation AI Native Assistant focused on multimodal interaction, contextual intelligence, and highly personalized AI experiences at massive scale. The platform operates within one of the world’s largest consumer content ecosystems, supporting hundreds of millions of users and handling massive volumes of real-time multimodal interaction data across text, image, video, and conversational experiences. Our ambition is to build deeply integrated AI assistant experiences capable of proactive understanding, contextual memory, intelligent recommendations, and AI-assisted decision-making across high-frequency daily lifestyle scenarios. Key Responsibilities: - Build scalable systems powering large-scale AI assistant and conversational AI experiences. - Design distributed architectures supporting retrieval, memory, personalization, and real-time inference workloads. - Optimize latency, reliability, and throughput for highly interactive AI assistant experiences serving massive concurrency. - Develop AI product engineering frameworks enabling rapid deployment of multimodal AI capabilities. - Build systems supporting conversational memory, contextual intelligence, and agent orchestration. - Improve product infrastructure supporting personalized reasoning and AI-assisted decision-making. - Develop highly scalable serving architecture supporting AI-native consumer applications at massive scale. - Collaborate closely with algorithms and product teams to productionize next-generation AI interaction experiences. Technical Areas: - AI Product Engineering - AI Assistant Systems - Distributed AI Systems - Conversational AI Infrastructure - Recommendation Infrastructure - Retrieval & RAG Systems - Inference Optimization - Agent Frameworks - Memory Systems - AI-native Platform Engineering - Multimodal AI Systems - High-Concurrency Backend Systems Preferred Background: We are particularly interested in candidates from teams such as: - Meta AI, Instagram Discovery & Recommendations, Facebook Feed, Reels Recommendations, Messenger / WhatsApp AI - Google Gemini, Google Assistant, Google Search, YouTube Recommendations - 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 come from: - AI product engineering teams - Conversational AI platform teams - Recommendation and search organizations - Distributed inference and serving teams - AI-native consumer application environments - Large-scale backend and high-concurrency systems teams - Multimodal AI product environments Requirements: - Strong software engineering fundamentals with expertise in Go, Java, C++ or Python. - Experience building distributed systems or large-scale AI product platforms. - Strong understanding of inference optimization, scalability, and system reliability. - Familiarity with model serving, conversational AI systems, or AI-native product engineering preferred. - Experience supporting high-concurrency consumer-facing systems strongly preferred. - Passion for building AI Native Assistant products used by millions of users globally. - Native or near-native Mandarin fluency (spoken and written). Why Join: - Opportunity to help build one of the most ambitious AI Native Assistant ecosystems globally. - Work on globally scaled consumer AI challenges involving massive real-time workloads and multimodal interaction systems. - Access to large-scale multimodal interaction datasets and production AI systems. - Strong engineering ownership and ability to shape next-generation AI-native consumer experiences. - Collaborate with top-tier AI engineers, infrastructure teams, and product organizations. - Competitive compensation, relocation support, and long-term growth opportunities.