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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

  1. 1

    Python

    61% of postings45% as required
  2. 2

    LLMs

    20% of postings16% as required
  3. 3

    APIs

    18% of postings15% as required
  4. 4

    SQL

    14% of postings11% as required
  5. 5

    TypeScript

    12% of postings9% as required
  6. 6

    AWS

    12% of postings9% as required
  7. 7

    Kubernetes

    11% of postings10% as required
  8. 8

    PyTorch

    11% of postings8% as required
  9. 9

    Prompt engineering

    11% of postings7% as required
  10. 10

    LangChain

    11% of postings6% as required
  11. 11

    Machine learning

    11% of postings7% as required
  12. 12

    CI/CD

    10% of postings9% as required
  13. 13

    Java

    10% of postings6% as required
  14. 14

    LangGraph

    10% of postings6% as required
  15. 15

    Azure

    9% of postings7% as required
  16. 16

    Docker

    9% of postings5% as required
  17. 17

    Vector databases

    8% of postings4% as required
  18. 18

    Go

    7% of postings6% as required
  19. 19

    Retrieval-Augmented Generation (RAG)

    7% of postings5% as required
  20. 20

    Generative AI

    7% of postings5% as required

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

  1. Treat it as a map of the market, not a checklist. Tailor to the posting you are applying to.
  2. For each skill you really have, make sure it is written on your resume, in the posting's wording, where you used it.
  3. Leave out skills you do not have. Listing them can cost you in the interview.