Full-Stack Engineer - Palo Alto

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 https://www.Plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube

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.

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• 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

• 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

• 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 with a focus on reliability, latency, and scalability

• Knowledge of observability best practices: logging, monitoring, alerting, tracing

• Engineering rigor via automated testing, CI/CD, and disciplined code review

• Strong end-to-end ownership; effective under ambiguity

• Proven ability to work with Product, Applied AI, and GTM toward shared outcomes

• Accountable for user experience and delivery impact