Skill specialists

Hire Vetted 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
United States — Chicago (UTC-5) Full Time
AI & Machine Learning Engineers Automation & AI Workflows
Viren

Viren

Junior
India — Kolkata (UTC+5.5) Full Time, Part Time
AI & Machine Learning Engineers data science & analytics
Khandu

Khandu

Junior
India — Kolkata (UTC+5.5) Full-time, Contract-to-hire
Automation & AI Workflows AI & Machine Learning Engineers
Sneha

Sneha

Junior
India — Kolkata (UTC+5.5) Active 16 hours ago Full-time
NLP & Prompt Engineering AI & Machine Learning Engineers
Tanmay

Tanmay

Mid-Level
India — Kolkata (UTC+5.5) Freelance, Part-time
AI Business, Marketing & Strategy Automation & AI Workflows
Yuwetha

Yuwetha

Junior
Sri Lanka — Colombo (UTC+5.5) Part-time, Full-time
NLP & Prompt Engineering AI Business, Marketing & Strategy
Siva Sai Rupesh

Siva Sai Rupesh

Junior
India — Kolkata (UTC+5.5) Freelance
NLP & Prompt Engineering Automation & AI Workflows
Umair

Umair

Mid-Level
Pakistan — Karachi (UTC+5) Active 2 hours ago Full-time, Part-time
Automation & AI Workflows AI Implementation & Consulting
openai api python prompt engineering ai agents vector databases +2
Raza

Raza

Mid-Level
Pakistan — Karachi (UTC+5) Active 15 hours ago Full-time, Part-time
AI Product & Strategy Automation & AI Workflows
Jesper

Jesper

Junior
Netherlands — Amsterdam (UTC+2) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering

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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