Prompt Engineer Resume Keywords for ATS
ATS systems screening Prompt Engineer CVs prioritise demonstrated experience with large language models (LLMs), prompt design methodologies, and AI/ML frameworks. Candidates should emphasise quantifiable outcomes from prompt optimisation, model fine-tuning, and cross-functional collaboration with data science and product teams, using exact terminology from job descriptions.
ATS keywords for a Prompt Engineer Resume
Use these as a checklist — include the ones that genuinely apply to you, matched to the wording of the job you are targeting.
Core skills
Tools & software
Soft skills
Certifications & qualifications
How to get a Prompt Engineer Resume past the ATS
- Include specific LLM model names (GPT-4, Claude, Llama 2, PaLM) you've worked with, as recruiters filter by these exact terms
- Use both 'Prompt Engineering' and 'Prompt Design' as different organisations use different terminology in their ATS filters
- Quantify prompt performance improvements with metrics like accuracy gains, latency reduction, or cost savings per 1K tokens
- List prompt techniques by their formal names (few-shot, zero-shot, chain-of-thought, ReAct) rather than generic descriptions
- Include 'RAG' and 'Retrieval-Augmented Generation' separately as some systems search for the acronym whilst others use the full term
- Mention both programming languages (Python, JavaScript) and frameworks (LangChain, LlamaIndex) in skills sections for maximum ATS matching
Before & after: Prompt Engineer Resume bullets
Before: Worked on improving chatbot responses using AI
After: Engineered prompt templates for GPT-4-based customer service chatbot, improving response accuracy by 34% and reducing hallucinations by 28% through chain-of-thought prompting techniques
Before: Developed prompts for various company projects
After: Designed and optimised 150+ production prompts across 5 LLMs (GPT-4, Claude, PaLM) using few-shot learning and RAG, reducing API costs by £12K monthly whilst maintaining 92% user satisfaction
Before: Helped team implement AI solutions
After: Led cross-functional prompt engineering initiative using LangChain and Python, delivering 8 generative AI features with average latency under 2.3 seconds and 89% task completion rate
Prompt Engineer Resume keywords — FAQ
What keywords should a Prompt Engineer put on their Resume?
A Prompt Engineer Resume should include core skills such as Prompt Engineering, Large Language Models (LLMs), Natural Language Processing (NLP), Prompt Optimisation, Few-shot Learning, Chain-of-Thought Prompting, and name specific tools like OpenAI GPT-4, Claude, LangChain, Python, Hugging Face. Always match the exact terms used in the job description you are applying to.
How do I make my Prompt Engineer Resume ATS-friendly?
Use a plain-text skills section, mirror the keywords from the job posting word-for-word, spell out acronyms once alongside their short form, and quantify your achievements. Include specific LLM model names (GPT-4, Claude, Llama 2, PaLM) you've worked with, as recruiters filter by these exact terms
What skills do employers look for in a Prompt Engineer?
Beyond technical skills, employers screen for Analytical Thinking, Problem-Solving, Attention to Detail, Cross-functional Collaboration. Relevant qualifications include AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate.