Core Requirement (Mandatory)
Applicants must submit minimum 4 real project samples related to:
- AI Agent development
- Automation workflows
- API integrations
- AI-powered bots or systems
Even small personal functional projects are acceptable — but they must be independently built.
Tutorial copies or template-only projects will not be considered.
Provide:
- GitHub links
- Demo videos
- Screenshots
- System diagrams
Plus a very short explanation of what you built and how it works
Applications without at least 4 valid samples will not be reviewed.
What You Will Do
- Build AI agents based on structured guidance
- Design and implement automation workflows
- Connect APIs and external services
- Work with REST APIs, JSON, and webhooks
- Improve and iterate AI-driven systems
- Research new AI tools and frameworks
- Propose creative technical ideas
You will receive system logic and direction.
Your responsibility is to implement efficiently and improve technically.
Technical Baseline
You should be comfortable with:
- Good API logic (REST, JSON handling, webhooks)
- Automation tools (Make, n8n, Zapier, or similar)
- Testing and debugging workflows
- Fast iteration and structured execution
Familiarity with modern AI tools (Claude, GPT-based systems, AI coding assistants) is a strong plus.
Mindset Requirements
- Strong interest in AI and AI agents
- Active learner and researcher
- Ability to explore and test new tools independently
- Creative thinking + practical execution
- Able to move from idea → working prototype
Execution speed and iteration ability matter.
Education (Relevant Fields)
- Computer Science
- Software Engineering
- AI / Data-related studies
- Information Systems
- Or strong self-taught practical experience
Degree is not mandatory if project quality is strong.
Work Structure
- Hybrid or Remote
- Flexible collaboration
- Project-based growth
All required equipment (computer, tools, internet & etc) must be provided by the applicant.
