Candidates are often surprised to discover that an "AI Engineer" role at one company looks nothing like the same title at another. This inconsistency is worth understanding before you accept an offer.
At a startup
Often means doing everything — model selection, integration, infrastructure, and sometimes product decisions — because there's no larger team to split the work across.
At a large tech company
Usually means a narrower, deeper specialization within a much bigger AI organization, with more structure but less end-to-end ownership of any single system.
At a traditional company building AI capability
Often means as much stakeholder education and change management as technical work — the technical bar might be lower, but the influence and communication demands are higher.
Ask specific questions before accepting an offer
"What will my first three projects likely be?" and "who do I work with day-to-day?" reveal far more about actual role fit than the job title or a generic job description ever will.