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Plaud.ai

AI-powered hardware for transcription and summaries

Full-Stack Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Proven track record of owning and delivering critical systems or components end-to-end; demonstrated delivery and depth are valued over a specific number of years.
  • Solid computer science fundamentals, including data structures, algorithms, and system design.
  • Proficiency in at least one backend programming language, such as Python, Go, Java, or C++.
  • Experience building scalable online services, including API design, asynchronous workflows, and microservices.
  • Familiarity with distributed systems fundamentals, including databases, caching, messaging, and performance optimization.
  • Hands-on experience building products with large language models, agents, or workflow automation, and ability to turn prototypes into scalable, maintainable, production-ready solutions.
  • Use of AI tools in day-to-day work.
  • Experience delivering production systems with a focus on reliability, latency, and scalability.
  • Knowledge of observability best practices, including logging, monitoring, alerting, and tracing.
  • Experience with automated testing, continuous integration and continuous delivery, and disciplined code review.
  • Strong end-to-end ownership and ability to work effectively under ambiguity.
  • Ability to work with Product, Applied AI, and go-to-market teams toward shared outcomes.
  • Accountability for user experience and delivery impact.

Responsibilities

  • Engineer and iterate real-time voice AI services and agent workflows, including tool orchestration, memory, and multi-step reasoning; translate business requirements into scalable service capabilities.
  • Design and implement highly available, low-latency, scalable architectures; establish monitoring, logging, alerting, and tracing foundations for consumer usage and enterprise deployment.
  • Integrate large language model, automatic speech recognition, and text-to-speech capabilities into product pipelines; help build evaluation frameworks and automated testing for agent and voice quality; partner with Applied AI and Product to improve production systems using data-driven feedback.
  • Focus primarily on backend work while extending into mobile, software development kit, or frontend surfaces as needed to deliver end-to-end features; collaborate with Product, Applied AI, and mobile teams on enterprise proofs of concept and consumer features.
  • Adopt AI coding assistants, agentic development workflows, and automated testing and debugging tools to accelerate iteration while maintaining engineering quality.

Desired Qualifications

  • Experience with native iOS or Android development, or cross-platform development using Flutter or React Native; ability to ship mobile features or independently maintain a mobile software development kit.
  • Experience designing, packaging, versioning, and delivering developer-facing software development kits, with a focus on usability and integration experience.
  • Experience with WebRTC, audio streaming, or low-latency transport.
  • Experience with automatic speech recognition or text-to-speech pipelines, voice agents, or cascade versus native speech-to-speech architectures.
  • Familiarity with React or TypeScript and ability to contribute to web applications or developer consoles.

About the Company

Plaud.ai

AI-powered hardware for transcription and summaries

Plaud AI makes AI-powered hardware and software that capture, transcribe, and summarize audio. Its PLAUD NOTE and NotePin record conversations and feed the data to the Plaud Intelligence platform, which uses models from OpenAI, Anthropic, and Google to produce transcripts, summaries, mind maps, and actionable items. It combines device sales with a subscription for enhanced features and expanded enterprise offerings, including PLAUD for Business after acquiring StarJar in 2025. The goal is to turn conversations into structured notes and insights to boost productivity for professionals and students.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2021

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