We are looking for candidates with solid practical experience in most of the following areas:
Core Technical Requirements
- Experience with Google Cloud Platform (GCP) or similar cloud platforms
- Experience working with LLMs, APIs, prompt-based workflows, or agent-based systems
- Ability to build or support automation platforms and workflows
- Good understanding of SQL and/or NoSQL databases
- Practical experience with REST APIs, JSON, webhooks, and Python
- Experience with automation tools such as Make, n8n, Zapier, or similar systems
- Good problem-solving, testing, and debugging skills
- Basic understanding of security, access control, and safe system design
Portfolio Requirement
To apply, you must submit at least 4 real project samples related to one or more of the following:
- AI agents
- Automation workflows
- API integrations
- AI-powered bots or intelligent systems
Accepted formats:
- GitHub links
- Demo videos
- Screenshots
- Architecture diagrams
Please include a short 2–4 sentence explanation for each sample describing:
- what you built
- what problem it solved
- how it works
Tutorial-only, template-only, or copied projects will not be considered.
Mindset & Soft Requirements
- Strong interest in AI and automation
- Willingness to learn and test new tools
- Ability to work independently and build practical solutions
- Strong execution mindset
- Able to move from idea to working prototype
Education
A degree in Computer Science, Software Engineering, AI, or a related field is a plus, but not required. Strong practical experience and solid project work are highly valued.