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Red NotePosted 1 week ago

Storage Platform R&D Engineer(Database Intelligence)- rednote

On-sitePalo Alto, California, United States or Singapore, Singapore

Full TimeSenior LevelSmall

Job Summary

Drive architectural evolution and core module development for Rednote's storage platform, exploring AI-Native solutions to transform the system into an intelligent platform. Own the technical planning and execution of a self-service storage and database management platform, leveraging large language models to build an intelligent operations agent supporting natural language interaction. Re-architect the automated operations platform based on LLM Agent technologies to enable a shift from manual operations to fully automated, zero-touch systems. Lead practical LLM adoption in database domains, including intelligent SQL optimization, anomaly detection, capacity prediction, and auto-scaling. Continuously track leading AI Agent products and integrate advanced AI interaction paradigms to deliver industry-leading intelligent operations experience.

Required Qualifications

  • Proficient in at least one backend programming language (Go / Java / Python)
  • Familiar with frontend frameworks (Vue / React)
  • Hands-on experience building Agent applications using large model APIs (OpenAI, Claude, Qwen, etc.)
  • Hands-on experience with distributed storage
  • Familiar with the principles and operational practices of at least two of: distributed KV/cache, MySQL, distributed databases, graph databases, table storage, or object storage
  • Proficient in the LLM application development stack: RAG, Prompt Engineering, Function Calling, and multi-agent frameworks (LangChain, LlamaIndex, AutoGen, etc.)
  • Experience shipping complete projects
  • Deep practical experience with AI tools such as Cursor, Claude Code, GitHub Copilot, etc.
  • Ability to translate AI capabilities into product features and engineering delivery
  • Excellent at breaking down requirements and driving technical execution
  • Strong cross-team communicator
  • Customer-oriented mindset and strong sense of ownership
  • Forward-looking judgment on AI in infrastructure
  • Fluent in both English and Chinese (spoken and written)

Desired Qualifications

  • A technical blog
  • Open-source contributions
  • AI competition awards
  • Hands-on experience in AIOps, intelligent operations, or LLM Agent development

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