Skill specialists

Hire Prompt Engineers

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.

Manually reviewed
Remote worldwide
All engagement types
Prompt Engineer LLM Product Specialist AI Evaluation Engineer Conversational AI Designer RAG Optimisation Specialist

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Dhawal Umesh

Dhawal Umesh

Mid-level
Chicago, United States (UTC-6) Full Time Rate on request
AI & Machine Learning Engineers Automation & AI Workflows
Viren

Viren

Junior
Kolkata, India (UTC+5:30) Full Time, Part Time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Khandu

Khandu

Junior
Kolkata, India (UTC+5:30) Full-time, Contract-to-hire Rate on request
Automation & AI Workflows AI & Machine Learning Engineers
Gulshat

Gulshat

Senior
Nicosia, Cyprus (UTC+2) Full-time Rate on request
NLP & Prompt Engineering AI & Machine Learning Engineers
Zacharie

Zacharie

Senior
New York, United States (UTC-5) Contract, Freelance Rate on request
AI Training & Data Annotation NLP & Prompt Engineering
model evaluation rlhf data annotation prompt engineering ai agents +5
Mohsin

Mohsin

Senior
New York, United States (UTC-5) Full-time, Freelance Rate on request
Automation & AI Workflows AI Product & Strategy
Lawrence

Lawrence

Senior
Denver, United States (UTC-7) Full-time Rate on request
Automation & AI Workflows AI & Machine Learning Engineers
Daniel

Daniel

Senior
Sao Paulo, Brazil (UTC-3) Full-time Rate on request
AI Product & Strategy Automation & AI Workflows
Tal

Tal

Senior
Dublin, Ireland (UTC+0) Full-time Rate on request
AI & Machine Learning Engineers AI Product & Strategy
Diego

Diego

Senior
Bogota, Colombia (UTC-5) Full-time Rate on request
NLP & Prompt Engineering Automation & AI Workflows

Hiring guide

Why companies hire Prompt Engineering experts

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.

Popular projects

  • Design reliable system prompts that make your LLM product consistent
  • Build evaluation pipelines that catch prompt regressions before they reach users
  • Reduce hallucinations in your AI product without changing the model
  • Optimise RAG prompts to dramatically improve retrieval accuracy

What to look for

  • Structured, systematic approach to prompt design and testing
  • Experience with prompt evaluation (LLM-as-judge, RAGAS, custom evals)
  • Knowledge of different LLM providers and their prompt behaviours

Frequently asked questions

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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