Resume Example
AI Engineer Resume Example
Focus on production AI systems, RAG pipelines, and evaluation. This sample highlights model impact and reliability.
Modern Minimal
Clean sidebar layout with navy accent. Great for tech and finance roles.
Keywords
Sample bullets
- Built a RAG pipeline that improved answer accuracy by 28%.
- Deployed an agentic workflow that reduced support resolution time by 35%.
- Implemented evaluation harnesses that cut hallucination rate by 22%.
Soft skills
- Problem framing
- Experimentation
- Collaboration
- Responsible AI mindset
Certifications
- AWS ML Specialty
- Google Cloud Professional ML Engineer
- TensorFlow Developer Certificate
Why this works
- Connects AI work to measurable product outcomes.
- Shows production readiness and monitoring discipline.
- Highlights responsible AI practices.
Step-by-Step Guide
How to Write a AI Engineer Resume
Lead with AI systems in production
AI engineers build AI-powered products. Lead with AI applications deployed, user scale, and business impact. 'AI Engineer building conversational AI handling 1M daily interactions with 90% resolution rate.'
Show LLM and foundation model expertise
Include experience with LLMs (GPT, Claude, Llama), fine-tuning, prompt engineering, RAG, and embedding systems. Modern AI engineering centers on foundation models.
Highlight production AI challenges
Include experience with latency optimization, cost management, evaluation, guardrails, and reliability. Production AI requires solving challenges beyond model selection.
Include infrastructure and MLOps
Describe AI infrastructure: vector databases, model serving, monitoring, and evaluation pipelines. AI systems require specialized infrastructure.
Demonstrate responsible AI practices
Include experience with safety, bias mitigation, and responsible AI deployment. Trust and safety are critical for AI systems.
Summary Examples
Good vs. Bad Resume Summaries
“AI Engineer building production LLM applications for enterprise. Deployed RAG system reducing support tickets 40% for 100K users. Optimized inference costs 60% through caching and model distillation. Expert in LangChain, vector databases, and prompt optimization.”
Production scale, business impact, cost optimization, and modern AI stack.
“AI enthusiast experienced with ChatGPT and machine learning. Passionate about artificial intelligence applications.”
Using ChatGPT isn't engineering. No production systems or technical depth.
“Senior AI Engineer leading conversational AI platform handling 5M monthly users. Built evaluation framework improving response quality 35%. Implemented guardrails reducing harmful outputs 99%. Fine-tuned models for domain-specific performance.”
Scale, evaluation, safety focus, and fine-tuning experience.
“Developer interested in AI seeking AI engineer role. Built chatbot using GPT API for personal project.”
Personal project with API doesn't demonstrate AI engineering depth.
Action Verbs
Power Words for AI Engineer Resumes
Common Mistakes
What to Avoid
- ✗Confusing AI usage with AI engineering
- ✗Not specifying production scale and impact
- ✗Omitting LLM and foundation model expertise
- ✗Being vague about AI infrastructure experience
- ✗Not showing evaluation and quality practices
- ✗Missing cost optimization and efficiency
Salary ranges
| Level | US | EU | Canada |
|---|---|---|---|
| Entry | USD 100,000-140,000 | EUR 50,000-70,000 | CAD 100,000-140,000 |
| Mid | USD 150,000-200,000 | EUR 70,000-120,000 | CAD 140,000-160,000 |
| Senior | USD 200,000-450,000 | EUR 90,000-140,000 | CAD 150,000-180,000 |
Market themes
- Agentic AI postings surged
- Average US salary reached about USD 206,000
US hot markets
- San Francisco
- Seattle
- New York
- Boston
- Los Angeles
EU hot markets
- London
- Berlin
- Munich
- Amsterdam
Canada hot markets
- Toronto
- Montreal
- Vancouver
FAQ
Common questions about this role
What should AI engineers emphasize?
Model impact, production readiness, and evaluation rigor.
Which metrics matter most?
Accuracy lift, latency, and quality regression prevention.
Related Roles
More Data & Analytics Examples
Beyond Templates
Templates are so 2015
Static templates give everyone the same look. Our Resume Studio uses AI to dynamically generate a completely unique resume for every job—personalized to your style, your experience, and the role you're targeting. No two resumes are ever the same.