Mikomiko Pte. Ltd. – AI Full Stack Developer (Backend)

Company
Mikomiko Pte. Ltd.
mikomiko.ai
Designation
AI Full Stack Developer (Backend)
Date Listed
01 Dec 2025
Job Type
Entry Level / Junior Executive, Experienced / Senior Executive
Intern/TS
Job Period
Flexible Start, For At Least 3 Months
Profession
Sciences / Laboratory / R&D
Industry
Artificial Intelligence / Smart Automation
Location Name
85 Science Park Drive, Singapore
Address
85 Science Park Dr, Singapore Science Park 1, Singapore 118259
Map
Allowance / Remuneration
$800 - 1,200 monthly
Company Profile

At Mikomiko, we are at the forefront of AI Technology and AI Solution development and deployment. Our expertise spans across machine learning, deep learning, multi-model learning, transformer, NLP, frontend, backend, cloud and embedded software development, to focus on AI Generated Content (AIGC) generation and beyond. Join us in shaping the future of AI and revolutionizing industries through innovation and advanced technology.

Job Description

We’re seeking talented Backend Engineers with strong engineering and system design skills to join our core team.

You will be responsible for architecting, building, and optimizing backend systems, ensuring KokoroLab’s AI services are scalable, secure, and performant.

 

  • 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.

Job Requirements: 

  • Bachelor’s degree or above in Computer Science, Software Engineering, or related fields;
  • Strong proficiency in Node.js / Python / Go (at least one required);
  • Experience in RESTful and/or GraphQL API development;
  • Familiar with databases and caching systems (MongoDB, MySQL, Redis, PostgreSQL);
  • Understanding of containerization and cloud deployment (Docker, Kubernetes, AWS, GCP);
  • Good awareness of system architecture, scalability, and security principles;
  • Strong ownership and clean, maintainable coding practices.

Preferred Qualifications:

  • Experience with high-concurrency or distributed systems;
  • Familiarity with microservices and message queues (Kafka / RabbitMQ);
  • Background in AI inference service deployment or model serving;
  • Knowledge of DevOps and CI/CD workflows;
  • Contributions to open-source projects or public engineering portfolios

Benefits:

  • Gain hands-on experience in a leading AI company at the forefront of technological advancements.
  • Work closely with a diverse team of experts and professionals in the AI industry.
  • Opportunity to showcase your skills and potentially secure a future career with the company.
  • Official annual leaves and medical leaves given.
  • Potential for performance-based incentives and awards, or opportunity to be converted into full time staff.

Duration and Application: This internship accepts anyone who can be with us for more than 3 months. 

Some Testimonials from our former students:

Student Han from NUS: “The Internship at this company was an invaluable learning experience. I was immersed in an environment that prioritized learning, collaboration, and real-world application.” “The diverse projects I was assigned allowed me to refine my technical skills, from frontend development with frameworks like React and Next.js to backend integration using Node.js and Express. And database skills like MongoDB PostgresSQL & Prisma.”

Student Sor from NUS: “My internship at this company was a highly rewarding experience. I had the opportunity to work on impactful projects and collaborate with a talented team, which made it an invaluable learning experience”. “This internship contributed to my personal and professional growth. It has prepared me well for my future career.”

Application Instructions
To apply, please send your updated resume, cover letter, and any relevant portfolios or work samples to

Kindly note that only shortlisted candidates will be notified.

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