Full-Stack Engineer - Palo Alto

About Plaud Inc. Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.   Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection. To learn more about Plaud, please visit http://www.plaud.ai/https://www.Plaud.ai and follow along on Instagram https://www.instagram.com/plaud_official/, https://twitter.com/PLAUDAI%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5C%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5CX https://twitter.com/PLAUDAI, Facebook https://www.facebook.com/plaudai, LinkedIn https://www.linkedin.com/company/plaudai/?viewAsMember=true, and YouTube https://www.youtube.com/@PLAUDAI   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 $300M 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 - AI Application & Backend Core Delivery: Engineer and iterate realtime voice AI services and Agent workflows; build key modules including tool orchestration, memory, and multi-step reasoning; translate business requirements into scalable service capabilities. - Production-Grade System Engineering: Design and implement highly-available, low-latency, scalable architectures (latency is especially critical for realtime voice); establish monitoring, logging, alerting, and tracing foundations to support both high-frequency consumer usage and enterprise deployment. - AI Integration & Closed-Loop Iteration: Integrate LLM / ASR / TTS capabilities into product pipelines; help build evaluation frameworks and automated testing for Agent and voice quality; partner with Applied AI and Product to drive data-driven, closed-loop improvement in production. - Full-Stack Collaboration & Rapid Iteration: Keep backend as your main line while extending into mobile, SDK, or frontend surfaces as needed to…