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Nederlands
$
USD
I will be your ai prompt engineer for chatgpt, claude, and llm systems
AI Engineer LLM RAG FastAP React NestJS
I build AI-powered web apps and automation systems that save businesses time using LLMs, Lora-Models RAG pipelines, FastAPI, React, and NestJS.
Whether you need an AI chatbot trained on your own data...
Niveau 1
Voldoet aan bepaalde prestatiecriteria en toont een sterke potentie op de marktplaats.
Zeer responsief
Geeft doorgaans uitzonderlijk snel antwoord
Over deze dienst
Looking for a professional AI prompt engineer to build reliable, high-performing prompts for your business or application? Generic prompts lead to hallucinations, inconsistent formatting, and wasted API tokens. I engineer robust, production-grade system prompts and custom workflows tailored to your exact use case.
Whether you need complex ChatGPT instructions, Claude personas, or structured data extraction, I deliver prompts that work consistently every time.
What I Provide:
- Custom System Prompts: Battle-tested prompts for ChatGPT (GPT-4o), Claude 3.5, and open-source LLMs.
- Structured Output Design: Strict JSON, XML, or Markdown schemas for seamless API ingestion.
- Few-Shot Prompt Engineering: Handcrafted edge-case examples and negative constraints to prevent hallucination.
- Agent & Workflow Chaining: Multi-step prompt chains for customer support, lead qualification, and content pipelines.
- Token & Cost Optimization: Concise instructions that lower token usage without sacrificing reasoning quality.
Ready to unlock the true power of your AI tools? Send me a direct message with your use case, and let's optimize your workflow
Voorkeur voor een leveringsstijl
Laat het de freelancer weten als je voorkeuren voor of zorgen hebt over het gebruik van AI-tools voor het voltooien en/of leveren van je bestelling.
Mijn portfolio
Veelgestelde vragen
What makes a professional AI prompt engineer different from typing a standard query?
A professional prompt engineer uses structured system design, including role definitions, clear negative constraints, few-shot demonstration pairs, and standardized schema outputs (like JSON) to guarantee deterministic, reliable results that don't break in production.
Which models do you support?
I optimize prompts for OpenAI models (GPT-4o, o1, o3), Anthropic Claude (3.5 Sonnet / Opus), Google Gemini, and open-source models (Llama, DeepSeek, Mistral).
Can you design prompts that return clean JSON for APIs and codebases?
Yes. I specialize in crafting prompts with strict schema validation rules so your application or automation agent can parse the output reliably without errors.
Do you test the prompts before delivery?
Every prompt is tested across multiple iterations and edge cases to ensure consistent performance, low latency, and zero hallucination before handoff.
