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Browse specialists who design, test, and systematically optimise LLM prompts and retrieval systems — reducing hallucinations and building the evaluation pipelines that make AI products reliable.
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Prompt engineering is the discipline of designing reliable instructions for large language models. Expert prompt engineers reduce hallucinations, improve output consistency, and build the evaluation frameworks that make LLM products trustworthy at scale.
Is prompt engineering a real engineering discipline?
Yes. Production prompt engineering involves systematic testing, version control, evaluation pipelines, and continuous improvement — not just writing better instructions. It is a critical role for companies building reliable LLM products.
What is the difference between a prompt engineer and an NLP engineer?
Prompt engineers focus on LLM instruction design and evaluation. NLP engineers work deeper in the stack — on model training, fine-tuning, and language processing systems. For most LLM products, a prompt engineer is what you need first.
How do prompt engineers measure quality?
Through structured evaluation frameworks — LLM-as-judge scoring, human preference ratings, task-specific metrics (ROUGE, BLEU, faithfulness), and regression suites that catch regressions when prompts are updated. Strong prompt engineers build these systems, not just write prompts.
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