Senior Backend Engineer (AI Applications) - Singapore

Plaud

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+
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Job summary

Plaud Inc. is seeking an AI Software Engineer to design and build AI Agent application systems that power intelligent user experiences for professionals.

You will work on retrieval systems and integrate advanced AI capabilities into real-world workflows. Collaborate with product and cross-functional teams to deliver end-to-end features, continuously improve agent reliability and performance, and prototype new AI forms to enhance the product experience.

Qualifications

  • Minimum 3 years of software engineering experience in AI, backend systems, or related fields.
  • Strong programming fundamentals in languages such as Python, Go, or similar.
  • Practical understanding of LLM applications and integrating model-based workflows into products.
  • Ability to design, implement, and maintain large-scale, production-grade systems.

Responsibilities

  • Design and build AI Agent application systems that power intelligent user experiences.
  • Develop and optimize retrieval systems that integrate deeply with Agent reasoning and workflows.
  • Collaborate with product and cross-functional teams to deliver end-to-end AI application features.
  • Continuously iterate on Agent capabilities, improving reliability, adaptability, and performance.
  • Explore and prototype new forms of AI intelligence to push the boundaries of product experience.

Skills

Software engineering
Python/Go
LLM applications
Systems design

Job description

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 2,000,000 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
  • Design and build AI Agent application systems that power intelligent user experiences.

  • Develop and optimize retrieval systems that integrate deeply with Agent reasoning and workflows.

  • Collaborate with product and cross-functional teams to deliver end-to-end AI application features.

  • Continuously iterate on Agent capabilities, improving reliability, adaptability, and performance.

  • Explore and prototype new forms of AI intelligence to push the boundaries of product experience.

Skills, Qualifications and Experience We Look for
  • Minimum 3 years of software engineering experience in AI, backend systems, or related fields.

  • Strong programming fundamentals in languages such as Python, Go, or similar.

  • Practical understanding of LLM applications and integrating model-based workflows into products.

  • Ability to design, implement, and maintain large-scale, production-grade systems.

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