AI Engineer Resume Keywords
These are the skills that recent ai engineer job postings list most often. We counted them across 387 postings from 285 employers, posted between September 29, 2026 and November 12, 2026.
Top 20 skills in ai engineer job postings
- 161% of postings45% as required
Python
- 220% of postings16% as required
LLMs
- 318% of postings15% as required
APIs
- 414% of postings11% as required
SQL
- 512% of postings9% as required
TypeScript
- 612% of postings9% as required
AWS
- 711% of postings10% as required
Kubernetes
- 811% of postings8% as required
PyTorch
- 911% of postings7% as required
Prompt engineering
- 1011% of postings6% as required
LangChain
- 1111% of postings7% as required
Machine learning
- 1210% of postings9% as required
CI/CD
- 1310% of postings6% as required
Java
- 1410% of postings6% as required
LangGraph
- 159% of postings7% as required
Azure
- 169% of postings5% as required
Docker
- 178% of postings4% as required
Vector databases
- 187% of postings6% as required
Go
- 197% of postings5% as required
Retrieval-Augmented Generation (RAG)
- 207% of postings5% as required
Generative AI
Source: public postings from employer career sites collected by LetMeApply. Skills are read from each posting with AI and merged across spellings (for example, AWS and Amazon Web Services). Each employer counts at most 3 times, so one company hiring in bulk does not skew the list.
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How to use this list
- Treat it as a map of the market, not a checklist. Tailor to the posting you are applying to.
- For each skill you really have, make sure it is written on your resume, in the posting's wording, where you used it.
- Leave out skills you do not have. Listing them can cost you in the interview.