Advisor specialty
AI Evaluation Engineer
Tests whether an AI answer is actually right before your team depends on it.
This describes a type of expertise, not a specific person. Ask us and we will tell you who in our network fits your initiative.
Problems solved
- Know-how is buried in manuals, procedures and tickets: assistants that find answers fast and cite sources.
Typical deliverables
- Hands-on build, tested and handed over to your team
- Areas
- Data & AI
- Platforms
- OpenAI, Claude, Microsoft Azure
- Examples only. Not every specialist uses every platform.
- Engagement type
- Implementation
- Selection criteria
- Suggested: 5 to 8 years of relevant hands-on experience. Look separately at recent hands-on generative AI delivery, not only total years.
- A guideline, not proof of seniority.