SkillTrendLab
Role

AI Engineer

Engineering and developer titles carrying an AI term without a narrower speciality.

1,741
postings
49.4%
of core AI postings
896
companies
Broad category

A broad category, not one kind of job

This family collects titles without a narrower speciality: 49.4% of this edition's core AI postings. It mixes many different jobs, and the map below is their combined share, so it should not be read as one uniform role.

If you already have a direction, these roles have a more specific skill map:

This role's skill map

Every share divides by this role's 1,741 postings in the September 11, 2026 edition. The 20 technology skills they mention most, grouped into three lenses; a lens is a reading aid and does not mean its skills matter equally.

Reading this edition

Across 1,741 AI Engineer postings: in Foundations and problem-solving, Python is mentioned most (60.7%); in Production and delivery, Git is mentioned most (30.8%); in Framework, LLM and domain signals, LLM is mentioned most (39.9%).

None of its top 20 skills is mentioned at twice its share of all core AI postings or more.

A share is a signal of what employers write into postings. It does not mean a course is required to do the job, and it says nothing about hiring odds or pay.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python60.7%
    Languages · 1,056 postings · overall 53.8%
  2. Machine learning · 423 postings · overall 25.5%
  3. Machine learning · 361 postings · overall 20.9%
  4. SQL17.8%
    Languages · 309 postings · overall 15.3%
  5. C++17.2%
    Languages · 299 postings · overall 20.8%
  6. Databases · 258 postings · overall 10.7%

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Git30.8%
    Tools · 536 postings · overall 23.5%
  2. Docker24.5%
    DevOps · 426 postings · overall 17.3%
  3. Linux23.3%
    DevOps · 406 postings · overall 19.3%
  4. CI/CD17.2%
    DevOps · 300 postings · overall 11.8%
  5. AWS14.0%
    Cloud · 244 postings · overall 11.4%

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. LLM39.9%
    LLM applications · 694 postings · overall 31.1%
  2. LLM applications · 433 postings · overall 19.0%
  3. RAG24.6%
    LLM applications · 429 postings · overall 18.9%
  4. LLM applications · 367 postings · overall 19.0%
  5. PyTorch19.4%
    Frameworks · 337 postings · overall 17.6%
  6. Claude17.7%
    LLM applications · 308 postings · overall 12.4%
  7. LLM applications · 290 postings · overall 12.5%
  8. Frameworks · 287 postings · overall 14.8%
  9. ChatGPT16.0%
    LLM applications · 278 postings · overall 12.1%

Monthly pay

Only postings stating a monthly or annual figure count: 27.1% of this role's postings disclose pay, 460 in all. Postings that say "negotiable" tend to pay more, so these figures read low.

25th percentile
NT$45,000
Median
NT$51,625
75th percentile
NT$70,000

Start below 40,0008.8%

Industries and places

Share of this role's postings.

Industry
  1. Software & Internet
    542
    31.1%
  2. Electronics & Hardware
    499
    28.7%
  3. Semiconductor
    177
    10.2%
  4. Manufacturing
    105
    6.0%
  5. Professional Services
    85
    4.9%
  6. Wholesale, Retail & E-commerce
    80
    4.6%
  7. Finance & Insurance
    61
    3.5%
  8. Healthcare & Biotech
    54
    3.1%
  9. Telecom, Media & Digital Content
    46
    2.6%
  10. Construction & Real Estate
    32
    1.8%
  11. Consulting & Marketing Services
    29
    1.7%
  12. Hospitality & Consumer Services
    11
    0.6%
Place
  1. Taipei
    725
    41.6%
  2. New Taipei
    309
    17.8%
  3. Hsinchu City
    134
    7.7%
  4. Hsinchu County
    133
    7.6%
  5. Taoyuan
    129
    7.4%
  6. Taichung
    112
    6.4%
  7. Kaohsiung
    78
    4.5%
  8. Tainan
    39
    2.2%
  9. Miaoli
    24
    1.4%
  10. Changhua
    20
    1.1%
  11. Nantou
    17
    1.0%
  12. Yunlin
    6
    0.3%
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.