Generative AI Engineer resume skills and keywords
In 31 Generative AI Engineer job postings from 15 employers analysed on October 23, 2026, the most requested skills are LLMs (97 %), Python (71 %), Machine learning (65 %), Communication (55 %) and Generative AI (52 %). Of the top 40 skills, 33 are hard skills, tools or certifications and 7 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 Generative AI Engineer job postings
| Skill | Share of postings | Type |
|---|---|---|
| LLMs | 97 % | Tool |
| Python | 71 % | Tool |
| Machine learning | 65 % | Hard skill |
| Communication | 55 % | Soft skill |
| Generative AI | 52 % | Tool |
| PyTorch | 52 % | Tool |
| Problem Solving | 45 % | Soft skill |
| RAG | 45 % | Tool |
| Collaboration | 45 % | Soft skill |
| Prompt engineering | 39 % | Hard skill |
| Evaluation frameworks | 39 % | Tool |
| Continuous learning | 35 % | Hard skill |
| User Experience | 35 % | Hard skill |
| Debugging | 32 % | Hard skill |
| APIs | 32 % | Hard skill |
| Hugging Face | 32 % | Tool |
| Attention to detail | 29 % | Soft skill |
| Kubernetes | 29 % | Tool |
| GCP | 29 % | Tool |
| LoRA | 29 % | Hard skill |
| AI Tools | 26 % | Tool |
| AWS | 26 % | Tool |
| Performance optimization | 26 % | Hard skill |
| Python Programming | 26 % | Tool |
| Accountability | 26 % | Soft skill |
| Docker | 23 % | Tool |
| Data Science | 23 % | Hard skill |
| TensorFlow | 19 % | Tool |
| Leadership | 19 % | Soft skill |
| Azure | 16 % | Tool |
| LangChain | 16 % | Tool |
| Mentoring | 16 % | Soft skill |
| Java | 16 % | Tool |
| Artificial Intelligence | 16 % | Hard skill |
| Data Analysis | 16 % | Hard skill |
| Distributed systems | 16 % | Hard skill |
| Software development | 13 % | Hard skill |
| MLflow | 13 % | Hard skill |
| React | 13 % | Tool |
| Terraform | 13 % | Tool |
Hard skills vs soft skills vs tools and certifications
Hard skills (14)
- Machine learning 65 %
- Prompt engineering 39 %
- Continuous learning 35 %
- User Experience 35 %
- Debugging 32 %
- APIs 32 %
- LoRA 29 %
- Performance optimization 26 %
- Data Science 23 %
- Artificial Intelligence 16 %
- Data Analysis 16 %
- Distributed systems 16 %
- Software development 13 %
- MLflow 13 %
Soft skills (7)
- Communication 55 %
- Problem Solving 45 %
- Collaboration 45 %
- Attention to detail 29 %
- Accountability 26 %
- Leadership 19 %
- Mentoring 16 %
Tools and software (19)
- LLMs 97 %
- Python 71 %
- Generative AI 52 %
- PyTorch 52 %
- RAG 45 %
- Evaluation frameworks 39 %
- Hugging Face 32 %
- Kubernetes 29 %
- GCP 29 %
- AI Tools 26 %
- AWS 26 %
- Python Programming 26 %
- Docker 23 %
- TensorFlow 19 %
- Azure 16 %
- LangChain 16 %
- Java 16 %
- React 13 %
- Terraform 13 %
Keyword phrases recruiters use
Multi-word phrases that recur across these generative ai 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 Generative AI Engineer resume example. Then prepare for the Generative AI Engineer interview questions that test them.
Build a generative ai engineer resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.