ATS keywords
AI Engineer resume keywords
These are the top 14 ATS-relevant keywords every AI Engineer resume should include in 2026. Copy them into your resume, then let ApplyX tailor it to any job description.
Keywords by priority
Priority is based on frequency in real AI Engineer job descriptions. Use critical keywords in your summary and top experience bullets.
1python
Critical2llm
Critical3prompt engineering
Critical4rag
Critical5langchain
Critical6vector databases
Important7fine-tuning
Important8pytorch
Important9api design
Important10evaluation
Useful11mlops
Useful12cloud
Useful13data pipelines
Useful14responsible ai
UsefulHow to use these keywords
Summary section: Include 3-4 critical keywords naturally. Example: “Experienced AI Engineer with expertise in python, llm, prompt engineering.”
Skills block: List all relevant keywords in a comma-separated skills section. ATS systems scan this first.
Experience bullets: Pair keywords with measurable impact. “Implemented python resulting in 25% improvement in delivery time.”
Projects section: Name the tools and technologies you used. Every keyword in context adds ATS weight.
Next step
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