AI Engineer resume keywords
Core keywords are the skill list on the AI Engineer resume example. Supporting keywords are skills-catalog entries that name this role.
See the matching AI Engineer resume example. For which applicant tracking systems large employers use, read the State of ATS 2026 report.
Check your AI Engineer resume
The ATS checker opens with AI Engineer filled in as the target role, along with the keyword list on this page. Paste your resume there. Free, no signup.
Counted on 2026-10-10 from 140 public job postings whose titles match AI Engineer. Those postings came from Ashby, Greenhouse, Lever, and SmartRecruiters. A posting is counted for this role when the longest published job-title phrase in its title is AI Engineer. The crawl queried Greenhouse, Lever, Ashby, and SmartRecruiters for 133 employers in the State of ATS 2026 dataset that use those vendors, and for 279 additional public boards from the extended coverage tier. The extended boards are not part of the 738-company statistics. 361 boards returned postings out of 412 boards attempted, and 46923 postings were scanned. HTML was stripped before counting, and each posting counts once per term. Phrases beyond the published skill list are the most common two- and three-word phrases in the matched postings. Posting text is not stored. A role page shows these percentages only when at least 30 descriptions were counted.
These are the terms to put on the resume when they match work you have done.
- LLMs
22% of 140 recent postings mention LLMs.
- Python
67% of 140 recent postings mention Python.
- Prompt Engineering
14% of 140 recent postings mention Prompt Engineering.
- RAG
19% of 140 recent postings mention RAG.
- Vector Databases
5% of 140 recent postings mention Vector Databases.
- OpenAI
31% of 140 recent postings mention OpenAI.
- LangChain
16% of 140 recent postings mention LangChain.
- Fine-tuning
18% of 140 recent postings mention Fine-tuning.
- NLP
4% of 140 recent postings mention NLP.
- Transformers
1% of 140 recent postings mention Transformers.
- Machine Learning
24% of 140 recent postings mention Machine Learning.
- Deep Learning
4% of 140 recent postings mention Deep Learning.
- Natural Language Processing
0% of 140 recent postings mention Natural Language Processing.
- Computer Vision
1% of 140 recent postings mention Computer Vision.
- TensorFlow
4% of 140 recent postings mention TensorFlow.
- PyTorch
7% of 140 recent postings mention PyTorch.
These phrases showed up often in the matched postings and are not already on the published skill list.
- software engineering
49% of 140 recent postings mention software engineering.
- computer science
40% of 140 recent postings mention computer science.
- engineering teams
36% of 140 recent postings mention engineering teams.
- genetic information
36% of 140 recent postings mention genetic information.
- please see
35% of 140 recent postings mention please see.
- real world
34% of 140 recent postings mention real world.
- additional information
32% of 140 recent postings mention additional information.
- long term
31% of 140 recent postings mention long term.
Where to place them
- 1
Headline
Put the target title and two core terms on the line under your name: AI Engineer | LLMs | Python.
- 2
Skills
List the core terms together in the skills section: LLMs, Python, Prompt Engineering, RAG, Vector Databases, OpenAI, LangChain, Fine-tuning, NLP, Transformers.
- 3
Experience
Use LLMs, Python, Prompt Engineering inside bullets for work you did in this role, next to the result.
- 4
Supporting terms
Add these in the skills section or a bullet when you have used them: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, TensorFlow, PyTorch.
These lines are already published on the AI Engineer resume example. Use them as a pattern for where a keyword sits next to a result, and replace the details with your own.
- Built RAG-based AI assistant reducing customer support tickets by 40% and saving $1.5M annually
- Fine-tuned LLMs on domain-specific data achieving 92% accuracy on specialized tasks
- Designed prompt engineering framework adopted by 5 product teams for AI feature development
- Implemented vector search system processing 1M+ documents with sub-second retrieval
Questions about AI Engineer keywords
What keywords should a AI Engineer resume include?
Core keywords for a AI Engineer resume are LLMs, Python, Prompt Engineering, RAG, Vector Databases, OpenAI, LangChain, Fine-tuning, NLP, Transformers. Core keywords are the skill list on the AI Engineer resume example. Supporting keywords are skills-catalog entries that name this role. Percentages are the share of 140 public postings fetched on 2026-10-10 whose titles match this role.
Where should AI Engineer keywords go on a resume?
Headline: Put the target title and two core terms on the line under your name: AI Engineer | LLMs | Python. Skills: List the core terms together in the skills section: LLMs, Python, Prompt Engineering, RAG, Vector Databases, OpenAI, LangChain, Fine-tuning, NLP, Transformers. Experience: Use LLMs, Python, Prompt Engineering inside bullets for work you did in this role, next to the result. Supporting terms: Add these in the skills section or a bullet when you have used them: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, TensorFlow, PyTorch.
How do I check a AI Engineer resume?
Open the free ATS checker with AI Engineer prefilled, paste your resume, and compare it with the keyword list on this page.