Backend Engineer (Application Development)

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

Own user-facing application features and backend services end to end, from understanding requirements and designing solutions to frontend and backend development, rollout, and ongoing iteration, and drive development in an AI-native way.

Responsibilities

• Independently own user-facing application features end to end, from understanding requirements and designing technical solutions to frontend and backend development, testing, rollout, and continuous iteration.
• Design and build backend services and APIs, and continuously improve data access, service communication, and engineering practices to keep systems reliable and scalable.
• Identify business opportunities with an AI-native mindset and drive the adoption of Agent and LLM capabilities in the product.
• Optimize performance and build stability for high-concurrency scenarios, and strengthen system security and observability.

Requirements

• Solid computer science fundamentals, including data structures, algorithms, and system design; a CS-related degree or equivalent practical experience.
• Experience developing backend applications and delivering to production, using one of Go, Python, Node.js, or a similar stack to build services, with strong attention to code quality and engineering practices.
• Familiarity with Protocol Buffers and common RPC frameworks, and a good understanding of service communication, API design, and error handling.
• Familiarity with data storage and caching technologies such as MySQL and Redis, an understanding of when to use relational and non-relational databases, and hands-on experience with data modeling, index design, transaction handling, and performance tuning.
• Understanding of system design principles for high-concurrency scenarios and typical uses of message queues, with the ability to apply caching, asynchronous processing, concurrency control, and rate limiting appropriately.
• Familiarity with containerized deployment and working knowledge of orchestration platforms such as Kubernetes, with the ability to take part in deploying, running, and troubleshooting services.
• Familiarity with Agent development and LLM application workflows, with the ability to use AI tools effectively and verify the quality of their output.
• Basic testing and production troubleshooting skills, with the ability to locate issues using logs and metrics and drive them to resolution.
• Ability to collaborate on technical work in Mandarin and to read, write and participate in day-to-day technical communication in English.

Preferred Qualifications

• Experience building distributed tracing, monitoring and alerting, or CI/CD systems.
• End-to-end experience taking a user-facing AI product from development to launch.
• Open-source projects, personal technical projects, or a technical blog.

Manus excels at various tasks in work and life, getting everything done while you rest at Manus AI.

What we offer:

• Build at the Frontier of AI Agents - Work with a fast-paced team to turn frontier AI breakthroughs into real-world impact.
• Equity & Shared success - Our share incentive plan enables employees to participate in Manus’s long-term growth and share in the value we create together.
• Unlimited Manus Tokens - Enjoy unlimited Manus tokens to experiment, build, and supercharge your productivity.

If you're passionate about cutting-edge technology and making a real impact, we’d love to hear from you!