Backend Engineer - Search, Ads & Recommendation Mandarin Required

What you'll do

• Design and optimize core Search, Advertising, and Recommendation systems for the main platform and international product.
• Develop production AI applications and infrastructure, including LLM-powered features, RAG pipelines, agent workflows, and multimodal capabilities.
• Own backend architecture and performance, reliability, and latency optimization; build reusable frameworks and collaborate with algorithm and machine learning teams.

What they ask for

• Bachelor’s degree or above in Computer Science or a related field, or equivalent practical experience.
• Minimum 3+ years of experience building large-scale backend and distributed systems.
• Proficiency in at least one of Java, C, or C++; hands-on experience putting LLMs into production and practical experience with one or more of RAG, agents/agent workflows, prompt engineering, or systematic LLM pipeline development.
• Experience developing products or systems serving tens of millions of users; proficiency in both Mandarin Chinese and English is mandatory.

Nice to have

• Experience building or operating large-scale Search, Advertising, or Recommendation systems.
• Experience supporting international products or overseas engineering projects.

Tools

Java, C, C++, LLMs, RAG

AI focus

Productionize LLM and multimodal capabilities in Search, Recommendation, and Advertising, including LLM-powered features, RAG pipelines, agent workflows, prompt engineering, and systematic LLM pipelines.