AI Full Stack Developer Intern

MIKOMIKO PTE. LTD

Singapore, SGonsite$12k-$14k/yrPosted Jul 23, 2026
Posting intelligenceActively listedReposted 25×, possible evergreen/ghost posting

Skills

postgreskubernetesjavascripttypescriptmongonextnodedockergithubpythonhtmlkafkaredismysqlreactcsscicdgooglecloudawsvuego

About the role

Company

Mikomiko Pte. Ltd.

mikomiko.ai

Designation

AI Full Stack Developer Intern

Date Listed

23 Jul 2026

Job Type

Entry Level / Junior Executive, Experienced / Senior Executive

Full/PermIntern/TS

Job Period

Immediate 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

$1,000 - 1,200 monthly

Company Profile

Mikomiko is at the forefront of artificial intelligence technology and AI solution development and deployment. Our expertise spans machine learning, deep learning, multimodal learning, transformers, natural language processing, frontend and backend engineering, cloud technologies, and embedded software development, with a strong focus on AI-Generated Content (AIGC) and emerging applications.

Join us in shaping the future of AI and transforming industries through innovation and advanced technology.

Job Description

We are looking for a talented Full-Stack Developer with strong engineering, system design, and user-experience capabilities to join our core team.

In this role, you will take ownership of the architecture, development, integration, and optimization of both frontend interfaces and backend systems for Mikomiko’s AI-powered products. You will work closely with designers, machine learning engineers, and other team members to deliver elegant, scalable, secure, and high-performing user experiences.

Key Responsibilities

Design, develop, and maintain scalable frontend and backend architectures.

Develop and maintain core web interfaces, frontend components, and backend services.

Build and maintain robust RESTful and GraphQL APIs.

Translate product and design requirements into responsive, interactive, and user-friendly interfaces.

Implement efficient business logic, database schemas, caching layers, and system integrations.

Build and maintain a modular, reusable, and scalable component system.

Integrate frontend applications with backend APIs, AI services, and machine learning systems.

Collaborate closely with designers, frontend and backend engineers, and machine learning teams to deliver seamless and stable user experiences.

Optimize user-interface performance across browsers, devices, and screen sizes.

Optimize database queries, API response times, backend processes, and overall application performance.

Ensure systems meet appropriate standards for security, scalability, reliability, and maintainability.

Contribute to containerization, cloud deployment, system monitoring, DevOps processes, and CI/CD pipelines.

Continuously explore new frontend, backend, and full-stack technologies and propose improvements to the development process and product architecture.

Write clean, maintainable, well-structured, and testable code.

Job Requirements

Bachelor’s degree or above in Computer Science, Software Engineering, or a related field.

Strong proficiency in HTML5, CSS3, and JavaScript (ES6+).

Strong experience with modern frontend frameworks such as React, Vue, or Next.js, with React preferred.

Familiarity with TypeScript and modern state-management solutions such as Redux, Recoil, or Zustand.

Strong proficiency in at least one backend programming language or environment, such as Node.js, Python, or Go.

Experience developing and integrating RESTful and/or GraphQL APIs.

Experience with databases and caching systems such as MongoDB, MySQL, PostgreSQL, and Redis.

Experience with data visualization technologies such as Chart.js or D3.js.

Understanding of modern build tools and CI/CD pipelines, including Webpack, Vite, and GitHub Actions.

Understanding of containerization and cloud deployment using technologies such as Docker, Kubernetes, AWS, or GCP.

Good understanding of system architecture, scalability, reliability, and security principles.

Strong attention to UI/UX quality, application performance, and technical detail.

Strong ownership, problem-solving ability, and commitment to clean and maintainable coding practices.

Collaborative mindset and ability to work independently in a self-driven environment.

Preferred Qualifications

Experience developing AI-powered platforms, creator tools, anime-related products, or visually rich applications.

Experience with Canvas, WebGL, or Three.js for dynamic graphics and interactive rendering.

Familiarity with server-side rendering (SSR) and frontend performance optimization.

Experience with high-concurrency or distributed systems.

Familiarity with microservices architectures and message queues such as Kafka or RabbitMQ.

Background in AI inference service deployment, model serving, or machine learning system integration.

Knowledge of DevOps practices, monitoring systems, and CI/CD workflows.

Contributions to open-source projects or a publicly available engineering portfolio.

Strong aesthetic sensitivity and a passion for building interactive, design-rich user experiences.

Benefits

Gain hands-on experience with a leading AI company at the forefront of technological advancement.

Work closely with a diverse team of experts and professionals in the AI industry.

Gain opportunities to showcase your skills and build a potential long-term career with the company.

Receive official annual leave and medical leave.

Be considered for performance-based incentives and awards.

Opportunity for conversion to a full-time position based on performance and business requirements.

Application Instructions

Please apply for this position by submitting your text CV using InternSG.

Kindly note that only shortlisted candidates will be notified.

Compensation

This Full-Stack Engineer role pays $12k-$14k/yr. Within typical range for full-stack engineer roles in Singapore.

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