About Plaud Inc.
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.
Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.
To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube
Why You Should Join Us
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
Define the next-gen paradigm for human-AI interaction.
Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
Work with passionate teammates who value innovation, collaboration, and customer success.
Grow your career in a culture that champions continuous learning and fast career development.
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
What You Will Do
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.
Skills, Qualifications and Experience We Look for
Minimum 3 years of backend or AI engineering experience, with at least 1+ years specifically in LLM application architecture.
Agentic Reasoning: Deep practical knowledge of advanced agent patterns (e.g., Plan-Act-Reflection).
System Design: Proven ability to design complex distributed systems. Experience defining API standards and data protocols for cross-team usage.
