Prompt Engineer Sample CVs
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What makes a strong Prompt Engineer CV
- Specify LLMs worked with: GPT-4/o, Claude, Gemini, Llama, Mistral, Cohere — model families and providers
- Highlight prompt techniques: chain-of-thought, few-shot, zero-shot, RAG, tool/function calling, system prompts
- Include evaluation frameworks: RAGAS, ROUGE, BLEU, human eval, LLM-as-judge, evals pipeline design
- List integrations: LangChain, LlamaIndex, OpenAI API, Anthropic API, vector databases (Pinecone, Weaviate, Chroma)
- Quantify outcomes: accuracy improvements, hallucination reduction, latency gains, cost per token optimisation
Key skills employers look for
Prompt Design & Optimisation
Chain-of-thought, few-shot, zero-shot, system prompts, instruction tuning, prompt templating
RAG & Knowledge Retrieval
RAG pipelines, vector databases (Pinecone, Weaviate, Chroma), embeddings, chunking strategies
LLM Evaluation
RAGAS, ROUGE, BLEU, LLM-as-judge, human eval, evals frameworks, hallucination detection
Integration & Tooling
LangChain, LlamaIndex, OpenAI/Anthropic/Gemini APIs, function calling, Semantic Kernel
How to tailor your CV
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