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Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.
Job Responsibility:
Agent Architecture Design: Designed the AI Agent architecture and implemented the "Plan-Act-Reflection" agentic flow
Skill Design: Developed agent skills including Function Calling, MCP Server integration, and Streaming APIs
Design DAG (Directed Acyclic Graph) reasoning flows to break down ambiguous user requests into executable steps
Solve critical runtime challenges like "Context Rot" (context overflow) by designing strategies for context offloading, isolation, and intelligent compression
RFT: Architect the Automated Data Flywheel system. Design Reward Functions and LLM-as-a-judge pipelines to programmatically evaluate agent performance and drive reinforcement learning
Requirements:
Minimum 3 years of backend or AI engineering experience
At least 1+ years specifically in LLM application architecture
Deep practical knowledge of advanced agent patterns (e.g., Plan-Act-Reflection)
Proven ability to design complex distributed systems
Experience defining API standards and data protocols for cross-team usage