AI-Driven Backend Engineer — End-to-End Features & Equity

Manus AI; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Equity & shared success

Unlimited Manus Tokens

Frontier AI projects

Job summary

Manus AI is seeking a backend software engineer to own user-facing features end-to-end, from requirements through design, implementation, testing, rollout and iteration.

You will build backend services and APIs, ensure reliable and scalable data access, and drive adoption of AI-native Agent and LLM capabilities within the product.

The role emphasizes performance, security, and observability for high-concurrency environments and collaboration across English and Mandarin teams.

Qualifications

• CS degree or equivalent practical experience.
• Experience building backend apps for production in Go, Python, or Node.js.
• Familiarity with Protocol Buffers and RPC frameworks.
• Experience with MySQL and Redis; data modeling and performance tuning.
• Understanding of high-concurrency systems and caching strategies.
• Experience with Kubernetes and containerized deployment.
• Ability to collaborate in Mandarin and read/write in English.

Responsibilities

• Own end-to-end user-facing features and backend services from design to rollout.
• Design and build backend services and APIs, improving data access and service communication.
• Identify business opportunities using an AI-native mindset and drive AI/LLM adoption.
• Optimize performance, security, and observability for high-concurrency environments.

Skills

Backend development

Go/Python/Node.js

CS fundamentals

APIs & RPC

Data storage & caching

System design

Kubernetes

Mandarin & English comms

Education

CS degree or equivalent

Tools

Protocol Buffers

RPC frameworks

MySQL

Redis

Kubernetes

Containerization

Job description

Manus AI is seeking a backend software engineer to own user-facing features end-to-end, from requirements through design, implementation, testing, rollout and iteration.

You will build backend services and APIs, ensure reliable and scalable data access, and drive adoption of AI-native Agent and LLM capabilities within the product.

The role emphasizes performance, security, and observability for high-concurrency environments and collaboration across English and Mandarin teams.