- Proven experience building AI agents, applications or automated workflows.
- Experience working with LLMs such as OpenAI, Claude, Gemini or similar models.
- Strong prompt-engineering and problem-solving skills.
- Experience with AI-assisted, low-code or no-code software-development platforms.
- Understanding of APIs, webhooks, databases and software integrations.
- Ability to test, troubleshoot and deploy functional solutions.
- A portfolio or demonstration of previous AI or software projects.
Experience with Python, JavaScript, n8n, Make, Zapier, LangChain, CrewAI, Supabase, Firebase or similar technologies will be advantageous.
A formal qualification is beneficial but not essential. Practical ability and a strong project portfolio will carry greater weight.
- Successful delivery of working AI agents and software.
- Reduction in manual work and improvement in operational efficiency.
- Accuracy, reliability and user adoption of developed solutions.
- On-time project completion.
- Proper documentation and system handover.
- Control of development, API and hosting costs.