ML engineers, AI platform engineers, and applied researchers - screened by people who ship AI systems, so 'has done RAG in production' means production, not a notebook.
- Calibration against your actual AI maturity and stack
- Portfolio and system-design screens by practitioners
- Evaluation exercises drawn from production scenarios
- Compensation benchmarking for a volatile market