AI and Machine LearningUpdated Jun 2026
AI Engineer resume keywords
Builds AI-powered products, model integrations, automation systems, and production inference flows. Use this keyword guide to optimize your resume for ATS scanners and recruiter searches.
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Professionals building careers at
GoogleMicrosoftAmazonStripeFigma
Top skills
LLMsPythonAPI integrationmodel evaluationRAGprompt engineering
Location matters
Place keywords in your summary, skills section, and within experience context. ATS systems weight contextual usage higher than keyword lists.
ATS keywords
LLMRAGPythonFastAPIvector databasemodel deploymentevaluation
Recruiter signals
- shipped AI features
- latency and reliability awareness
- safety and evaluation discipline
Role details
Salary range: $130K–$200K
Domain: AI and Machine Learning
Boards: LinkedIn, Levels.fyi, Wellfound
Common mistakes
- Claiming advanced AI expertise without showing deployed systems or evaluation methods.
- Using a generic summary that does not name the target role.
- Listing tools without showing where they were used.
- Adding metrics that are not supported by project, work, or portfolio evidence.
Next step
Check if your resume includes these keywords
Use the free Credensa ATS scanner to see how your resume matches against AI Engineer role requirements. Private browser-only analysis.
Further reading