AI Backend Engineer: Scalable Systems & APIs

Mikomiko Pte. Ltd.mikomiko.ai; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Hands-on AI experience

Diverse team exposure

Convert to full-time opportunity

Leaves entitlement

Performance incentives

Job summary

Mikomiko Pte. Ltd. seeks talented Backend Engineers to join our core team and help scale KokoroLab’s AI services.

You will architect, build, and optimize backend systems, and work with frontend and ML teams to deliver reliable, secure, and high-performance services in a fast-moving environment.

This role offers hands-on opportunities to shape architecture, drive DevOps practices, and contribute to cutting-edge AI deployments in a collaborative, innovative team.

Qualifications

• BS degree in CS/SE or related field
• Proficient in Node.js, Python, or Go
• Experience with RESTful and GraphQL APIs
• Familiar with databases and caching systems (MongoDB, MySQL, Redis, PostgreSQL)

Responsibilities

• Design, develop, and maintain scalable backend architectures
• Build and maintain robust API services (REST / GraphQL)
• Implement efficient business logic, database schema, and caching layers
• Optimize database queries and backend performance
• Collaborate closely with frontend and ML teams to deliver stable system integrations
• Ensure backend systems meet standards of security, scalability, and reliability
• Contribute to DevOps, monitoring, and CI/CD pipelines

Skills

Node.js

Python

Go

REST API

GraphQL

System design

Security principles

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

GCP

MongoDB

MySQL

Redis

PostgreSQL

Job description

Mikomiko Pte. Ltd. seeks talented Backend Engineers to join our core team and help scale KokoroLab’s AI services.

You will architect, build, and optimize backend systems, and work with frontend and ML teams to deliver reliable, secure, and high-performance services in a fast-moving environment.

This role offers hands-on opportunities to shape architecture, drive DevOps practices, and contribute to cutting-edge AI deployments in a collaborative, innovative team.