AI_Engineer_Type#An AI development partner should be evaluated against the work that survives the demo. Ask how the team will define acceptance tests and handle unavailable data. It should also explain model version records and the transfer of operational ownership. A polished prototype says little about monitoring or rollback behavior. custom AI development requirements, then verify how changes will be approved after release. The strongest proposal names dependencies and failure conditions without promising a model outcome before the data has been reviewed.