Product and experience

Conversation, prompt and context design

Conversation, prompt and context design shapes how a model is spoken to and what it knows, so it behaves usefully and stays within bounds. AI companies need it because raw model capability does not turn into a dependable product without it.

Models now sit inside products that real customers rely on, and the gap between a good demo and a good service is mostly design. Teams are finding that someone must own dialogue, instructions and context. These hires are tricky because titles overlap and the skill often hides inside broader roles. Look for people who test their work against real failures, not just write clever wording.

Hiring now 2Emerging 2

Roles in this family

4 roles

Hiring nowConversation DesignerA Conversation Designer shapes how an AI service talks, asks, hands over and recovers. They turn model behaviour into dialogue people can finish…EmergingPrompt EngineerA Prompt Engineer writes and tests the instructions and examples that make a model do one task well. They turn vague prompting into versioned…EmergingContext EngineerA Context Engineer decides what information, memory and tools reach the model at each step. That choice shapes answer quality, cost and privacy, so…Hiring nowAI Content DesignerAn AI Content Designer writes the words inside an AI product: prompts users see, explanations, warnings and error messages. Good content helps…

Where the people come from

Conversation design, content design, linguistics or application design

Not to be confused with. Prompt design is often a competency within broader roles.

Core skills

  • Model evaluation
  • Linguistics and localisation
  • Prompt and context design
  • Service and conversation design

Where it is used

  • Enterprise software and developer tools
  • Education and assessment
  • Customer service and contact centres

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