Technology

Hire an AI automation expert in Greece and Cyprus

The builder who ships the automation itself: working LLM systems with evaluation and human oversight designed in, not another impressive demo.

Most companies in Greece and Cyprus have seen the demo by now; far fewer have an automation that actually runs. An AI automation expert closes that gap in working software: document processing that copes with the paperwork a business really receives, internal assistants grounded in company knowledge, drafting and triage support for customer-service teams, and the automation of manual back-office processes. What separates the result from demo-ware is designed in from the start: evaluation that says how often the system is right, and a human in the loop wherever being wrong is expensive.

The AI automation experts on Hellenic Talent are elite professionals from product organisations, senior industry engineering roles, and top consultancies. They have shipped these systems rather than presented slides about them, and the best earn their keep partly through what they decline to automate.

What does an AI automation expert actually do?

  • Build document-processing pipelines that handle real paperwork, in Greek and in English
  • Stand up internal assistants grounded in company knowledge, with clear limits on what they may answer
  • Automate manual back-office processes end to end, with human approval where the cost of error is real
  • Support customer-service teams with drafting and triage rather than replacing the person on the line
  • Design evaluation before launch, so accuracy is measured rather than assumed
  • Reach for agentic workflows only where a simpler automation will not do
  • Build with the EU AI Act in mind and flag the use cases that need legal review

How to choose the right AI automation expert

What to test in the first conversation, whoever you end up hiring.

  1. Seen LLM systems fail

    Has run LLM systems in production long enough to have seen them fail.

  2. Evaluation before models

    Talks about evaluation and failure modes before talking about models.

  3. Process and people first

    Starts from the process and the people doing it, not from the technology.

  4. Admits where accuracy falls short

    Says plainly where accuracy is not yet good enough, and designs around it.

  5. Greek documents and local software

    At home with Greek-language documents and the software local companies really run.

Related roles

Tell us what you are trying to get done

A short call is enough to understand the situation and tell you honestly whether the network has the right AI automation expert for it.

Engagements run remote, hybrid, or on-site, for clients in Greece, Cyprus, and the rest of the world.