AI Agent Engineer - Singapore

Plaud; Singapore; On-site; SGD 75,000 - 100,000; Full time

Job summary

An innovative AI company based in Singapore is seeking a Backend Engineer to build and maintain the core infrastructure for their AI Agent framework. Responsibilities include collaborating with diverse teams and optimizing real-time inference systems. The ideal candidate should have 3–5 years in backend or AI-related roles, with strong programming skills in Python or Go, and experience with microservices, Docker, and cloud deployment. Join us to elevate human-AI interaction and contribute to cutting-edge technologies.

Benefits

Market-competitive compensation

Global exposure

Vibrant work atmosphere

Continuous learning opportunities

Qualifications

• 3–5 years of professional experience in backend or AI-related engineering roles.
• Strong programming skills in Python or Go.
• Experience with Redis, Kafka, gRPC, WebSocket, or similar frameworks.

Responsibilities

• Build and maintain the core infrastructure for AI Agent framework.
• Collaborate with product and hardware teams for new features.
• Lead migration of legacy systems to the new Agent framework.

Skills

Python programming

Go programming

asynchronous systems knowledge

microservices architecture

API design

Docker

CI/CD

cloud deployment knowledge

communication skills

collaboration skills

Tools

Redis

Kafka

gRPC

WebSocket

LangChain/Dify/LangGraph frameworks

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 1,000,000 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

• Build and maintain the core infrastructure powering our AI Agent framework — from runtime orchestration to memory and tool integrations.
• Collaborate with product and hardware teams to bring new AI‑driven features to life across innovative software and hardware products.
• Lead migration of legacy systems into the new Agent framework, ensuring performance, reliability, and compatibility.
• Develop and optimize pipelines for real‑time inference, agent coordination, and human‑AI interaction.
• Contribute to technical design reviews, internal SDKs, and developer tools that make our agent ecosystem easier to build on.

Skills, Qualifications and Experience We Look For

• 3–5 years of professional experience in backend or AI‑related engineering roles.
• Strong programming skills in Python or Go, with solid understanding of async systems, microservices, and API design.
• Experience working with at least two of: Redis, Kafka, gRPC, WebSocket, LangChain/Dify/LangGraph‑style frameworks.
• Practical knowledge of Docker, CI/CD, and cloud deployment (AWS, GCP, or similar).
• Clear communication and collaboration skills across distributed, cross‑functional teams.