What skills should a AI Engineer resume highlight?

A strong AI Engineer resume highlights skills like LLMs, Python, API integration, model evaluation. These align with what recruiters and ATS systems scan for first.

Credensa

AI and Machine LearningUpdated Jun 2026

AI Engineer resume example

Builds AI-powered products, model integrations, automation systems, and production inference flows. Use this example as a reference when building your own ATS-ready resume.

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Professionals building careers at

GoogleMicrosoftAmazonStripeFigma

Professional summary

AI Engineer with 5 years of experience shipping LLM-powered features into production, serving 2M+ monthly users. Built RAG pipelines, agent orchestration systems, and safety guardrails that reduced hallucination rates by 35%. Proficient in Python, FastAPI, vector databases, and prompt evaluation frameworks.

Key skills

LLMsPythonAPI integrationmodel evaluationRAGprompt engineering

Role details

Salary range: $130K–$200K

Domain: AI and Machine Learning

Boards: LinkedIn, Levels.fyi, Wellfound

ATS keywords

LLMRAGPythonFastAPIvector database

Experience bullets example

Realistic examples of how to phrase experience for a AI Engineer resume.

01Designed and deployed a RAG-based customer support agent serving 50K queries per week, reducing tier-1 ticket volume by 40%

02Built an automated prompt evaluation pipeline scoring 200+ prompt variants on accuracy, latency, and safety, improving answer relevance by 28%

03Reduced average inference latency from 2.4s to 680ms through speculative decoding and batching optimizations in a production FastAPI service

Proof examples

demo links
architecture notes
before/after latency
evaluation results

Recruiter signals

shipped AI features
latency and reliability awareness
safety and evaluation discipline