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Recrutez un Prompt Engineer
Specialists in designing, testing, and optimizing prompts for large language models and generative AI systems. They craft effective prompts that produce reliable, high-quality outputs for business applications.
D\u00e8s $10-15/hrMise en relation sous 48hProfessionnels v\u00e9rifi\u00e9s
Comp\u00e9tences cl\u00e9s
Chaque Prompt Engineer sur la plateforme AI10 est v\u00e9rifi\u00e9 pour ces comp\u00e9tences essentielles.
LLM Prompt Design & Optimization
Few-Shot & Chain-of-Thought Techniques
Evaluation & Benchmarking
RAG Architecture & Implementation
Tarification
Tarification transparente et abordable pour les meilleurs talents IA.
\u00c0 partir de
$10-15/hr
- Professionnels v\u00e9rifi\u00e9s et test\u00e9s
- Horaire flexible ou par projet
- Mise en relation sous 48 heures
- Gestion de projet d\u00e9di\u00e9e
- Garantie de remplacement
FAQ
Questions fréquemment posées
What does a Prompt Engineer actually do?
Prompt Engineers design, test, and optimize instructions for large language models. They build system prompts, few-shot examples, chain-of-thought reasoning templates, and output validation schemas — ensuring LLMs produce accurate, consistent, and safe outputs for your use case.
How does prompt engineering differ from fine-tuning?
Prompt engineering optimizes model behavior through better instructions and context — no model training required. Fine-tuning modifies model weights with your data. Our Prompt Engineers determine which approach (or combination) is most cost-effective for your needs.
Can Prompt Engineers build RAG systems?
Yes. Our Prompt Engineers design retrieval-augmented generation pipelines — chunking strategies, embedding models, retrieval logic, and prompt templates that ground LLM responses in your knowledge base. RAG eliminates hallucination for domain-specific applications.
What LLMs do your Prompt Engineers work with?
GPT-4, Claude, Gemini, Llama, Mistral, and other open-source models. They help you select the right model for your cost, latency, and accuracy requirements — and design prompts that work across model providers for vendor flexibility.