Low-Code/AI-Assisted Developer Intern

Position Overview:

We are looking for a forward-thinking and enthusiastic Low-Code/AI-Assisted Developer Intern to join our technology team. In this role, you will be at the intersection of modern software development, utilizing drag-and-drop low-code platforms alongside cutting-edge AI generation tools (such as generative AI coding assistants and prompt engineering) to build, test, and deploy functional business applications rapidly.

This internship is designed to give you hands-on experience in accelerating the software development lifecycle, teaching you how to balance visual programming with AI workflows to deliver scalable solutions.

Key Responsibilities:

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Application Building:

Configure process logic, user interfaces, forms, and automated business workflows using low-code/no-code platforms.

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AI-Assisted Development:

Utilize approved AI-generation tools and code assistants to generate custom scripts, optimize code snippets, and accelerate prototyping.

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Prompt Engineering:

Formulate and refine prompts to leverage Large Language Models (LLMs) for specific data processing and application features.

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Testing & Troubleshooting:

Conduct functional testing and verification of implemented solutions, identifying bugs or logical errors in both low-code models and AI-generated code.

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Data & API Integration:

Support the team in connecting applications to databases and external enterprise systems via REST APIs.

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Documentation & Review:

Maintain transparent documentation of workflows, data models, and prompt structures to support long-term maintainability.

Qualifications & Skills:

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Educational Background:

Currently pursuing a Degree or Diploma in Computer Science, Information Systems, Information Technology, or a related discipline.

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Platform Interest:

Strong interest or basic familiarity with major low-code/no-code environments (e.g., Google AppSheet, OutSystems).

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Technical Fundamentals:

Basic programming knowledge in languages like Python, JavaScript, or HTML/CSS to extend low-code capabilities when required.

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AI Curiosity:

Familiarity or experience using generative AI tools, code pilots, or prompt engineering techniques to solve technical problems.

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Analytical Thinker:

A process-oriented mindset with the ability to map out logical business workflows visually.

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Soft Skills:

Strong written and verbal communication skills, a proactive willingness to learn, and comfortable working in an agile environment.

What You Will Learn:

. Core fundamentals of digital transformation and rapid application development.

. How to combine traditional programming logic with generative AI tools effectively.

. Practical knowledge of agile workflows, database architectures, and systems integration.

Note:

. Internship Period: January 2027 - June 2027.

. Able to commit to a 6 months full time internship duration.

. This is a full work-from-office (WFO) internship.