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Prompt Engineer
LLM Interaction SpecialistAI Orchestrator
Yes, but as models get better at following intent, the role shifts from 'magic words' to complex system architecture.
Key Takeaways
- 1Designs and optimizes inputs to maximize the accuracy and safety of LLM outputs.
- 2Creates reusable prompt templates and 'chains' for enterprise workflows.
- 3Bridges the gap between non-technical business needs and technical model capabilities.
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Now
0-2 years🔄
What's changing
- 1Manual prompt engineering for text generation
- 2Basic A/B testing of inputs
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Implications
- High demand for 'prompt whisperers'
- Heavy focus on trial-and-error