Prompt Engineer resume skills and keywords
In 36 Prompt Engineer job postings from 16 employers analysed on October 23, 2026, the most requested skills are LLMs (83 %), APIs (58 %), Prompt engineering (53 %), Communication (47 %) and Prompt design (44 %). Of the top 40 skills, 36 are hard skills, tools or certifications and 4 are soft skills.
Download the full list as a CSV or check your own resume against a posting with the free keyword scanner.
Top 40 skills in Prompt Engineer job postings
| Skill | Share of postings | Type |
|---|---|---|
| LLMs | 83 % | Tool |
| APIs | 58 % | Hard skill |
| Prompt engineering | 53 % | Hard skill |
| Communication | 47 % | Soft skill |
| Prompt design | 44 % | Hard skill |
| RAG | 39 % | Tool |
| Evaluation frameworks | 36 % | Tool |
| SQL | 28 % | Tool |
| Mentoring | 28 % | Soft skill |
| Guardrails | 28 % | Hard skill |
| Version Control | 25 % | Hard skill |
| Product development | 25 % | Hard skill |
| CI/CD | 25 % | Tool |
| Generative AI | 25 % | Tool |
| Data Analysis | 22 % | Hard skill |
| Data Science | 22 % | Hard skill |
| Semantic | 22 % | Hard skill |
| Python | 22 % | Tool |
| Data Analytics | 19 % | Hard skill |
| Model evaluation | 19 % | Hard skill |
| LangChain | 19 % | Tool |
| Preference data | 19 % | Hard skill |
| System design | 19 % | Hard skill |
| Software development | 19 % | Hard skill |
| Cost Reduction | 17 % | Hard skill |
| Model selection | 17 % | Hard skill |
| Versioning | 17 % | Hard skill |
| Leadership | 17 % | Soft skill |
| TypeScript | 17 % | Tool |
| JavaScript | 14 % | Tool |
| Agile | 14 % | Hard skill |
| Continuous improvement | 11 % | Hard skill |
| Experimentation | 11 % | Hard skill |
| Machine learning | 11 % | Hard skill |
| Natural language processing | 11 % | Hard skill |
| Continuous learning | 8 % | Hard skill |
| Collaboration | 8 % | Soft skill |
| Debugging | 8 % | Hard skill |
| AI Technologies | 8 % | Hard skill |
| User Experience | 8 % | Hard skill |
Hard skills vs soft skills vs tools and certifications
Hard skills (26)
- APIs 58 %
- Prompt engineering 53 %
- Prompt design 44 %
- Guardrails 28 %
- Version Control 25 %
- Product development 25 %
- Data Analysis 22 %
- Data Science 22 %
- Semantic 22 %
- Data Analytics 19 %
- Model evaluation 19 %
- Preference data 19 %
- System design 19 %
- Software development 19 %
- Cost Reduction 17 %
- Model selection 17 %
- Versioning 17 %
- Agile 14 %
- Continuous improvement 11 %
- Experimentation 11 %
- Machine learning 11 %
- Natural language processing 11 %
- Continuous learning 8 %
- Debugging 8 %
- AI Technologies 8 %
- User Experience 8 %
Soft skills (4)
- Communication 47 %
- Mentoring 28 %
- Leadership 17 %
- Collaboration 8 %
Tools and software (10)
- LLMs 83 %
- RAG 39 %
- Evaluation frameworks 36 %
- SQL 28 %
- CI/CD 25 %
- Generative AI 25 %
- Python 22 %
- LangChain 19 %
- TypeScript 17 %
- JavaScript 14 %
Keyword phrases recruiters use
Multi-word phrases that recur across these prompt engineer postings, with the share of postings that use each one.
How to use this on your resume
Treat the table as a checklist, not a script. Put the skills you genuinely have in your skills section, using the same wording as the posting, and back the top ones with a bullet that shows the result.
Each job posting differs from the average, so compare your resume with the actual ad: paste it into the resume keyword scanner to see which terms you already have and which are missing. The ATS keywords guide explains where to place them so applicant tracking systems read them.
Skip any skill you cannot talk about in an interview; a keyword that falls apart under one question costs more than it gains. For a full layout with these skills in context, see the Prompt Engineer resume example. Then prepare for the Prompt Engineer interview questions that test them.
Build a prompt engineer resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.