Agent Engineer - Singapore

PLAUD PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading AI innovation company in Singapore is seeking an experienced backend or AI engineer to build and maintain core infrastructure for their AI Agent framework. Candidates should have strong programming skills in Python or Go, along with experience in async systems and microservices. The ideal applicant will thrive in a collaborative team focused on driving AI-driven features and innovations. This position offers competitive compensation and opportunities for career growth in a vibrant work atmosphere.

Benefits

Market-competitive compensation

Vibrant work atmosphere

Global exposure

Qualifications

• 3–5 years of 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 our AI Agent framework.
• Collaborate with product and hardware teams on new AI-driven features.
• Lead migration of legacy systems into the new Agent framework.

Skills

Python programming

Go programming

Async systems

Microservices

API design

Clear communication

Collaboration skills

Tools

Redis

Kafka

gRPC

WebSocket

Docker

CI/CD

AWS

GCP

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.

Minimum Qualifications

• 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.

Preferred Qualifications

• Experience with voice AI pipelines, including audio processing, speech recognition, and conversational agents.
• Familiarity with the RTC (Real‑Time Communication) technology stack and hands‑on project experience in live audio/video systems.
• Background in AI hardware projects, particularly in integrating on‑device intelligence with cloud‑based agent systems.
• Prior experience building or maintaining agent orchestration systems, multi‑agent workflows, or AI‑powered products.
• Skilled at leveraging AI tools (e.g., code assistants, auto‑testing, data analysis) to amplify work efficiency.