A template for AI specialists who make language models reliable and useful.
AI Prompt Engineer with 3 years of experience designing and optimising LLM-powered applications. Expert in prompt engineering, RAG architectures, and AI safety evaluation. Background in computational linguistics.
Prompt Engineer CVs are relatively new but increasingly in demand. Recruiters want to see experience with production LLM systems, evaluation methodologies, RAG implementations, and a background in linguistics or ML.
Prompt engineering, RAG architecture, LLM evaluation, Python, LangChain, AI safety, fine-tuning, NLP, structured output design, and red teaming.
Underselling the technical depth of the role. Prompt engineering in production is much more than writing prompts. Show your evaluation frameworks, accuracy improvements, and system design contributions.
One to two pages. Include a Projects section describing production systems. Link to publications, blog posts, or open-source contributions.
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