Full-Stack Engineer

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 (Use the "Apply for this Job" box below)..

Plaud.ai and follow along on Instagram, X, Facebook, Linked In, and You Tube.

• 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.

• 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 ship end‑to‑end; collaborate closely with Product, Applied AI, and mobile teams across enterprise PoCs and consumer features.
• AI‑Native Engineering Velocity:
  Actively adopt AI coding assistants, agentic dev workflows, and automated testing/debugging tools to accelerate iteration while maintaining strong engineering quality.

• Proven track record of owning and delivering critical systems/components end‑to‑end (we value demonstrated delivery and depth over a specific number of years)
• Solid CS fundamentals: data structures, algorithms, system design
• Consistently high‑quality output in fast‑paced environments

• Primary
• Proficiency in at least one backend language (Python, Go, Java, C++, etc.)
• Experience building scalable online services: API design, async workflows, microservices
• Familiarity with distributed systems fundamentals: databases, caching, messaging, performance optimization

• Emphasis
• Not just "interested" — you've actually built products with LLMs / Agents / workflow automation
• Ability to turn prototypes into scalable, maintainable, production‑ready solutions
• You already use AI tools in your day‑to‑day work

• Experience delivering production systems…