What hiring teams look for
AI Engineer (also: Generative AI Engineer, LLM Engineer, Applied AI Engineer)s win ATS screens by front-loading the highest-frequency job-description keywords (Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering) in the summary and skills blocks, then proving each in quantified bullets that show scope, method, and business outcome.
Top ATS keywords for a ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume
Frequencies reflect how often each keyword appears in current ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) job descriptions. Higher-frequency terms belong in your summary and Skills block.
| Keyword | JD frequency | Where to place it |
|---|---|---|
| Python | 61% of software/AI JDs (ResumeAdapter 2026); confirmed TealHQ top hard skill | Summary + Skills + top Experience bullets |
| Large Language Models (LLMs) | Fastest-growing AI keyword 2026 (ResumeAdapter); confirmed resume.io | Summary (use both "LLMs" and "Large Language Models") + Skills |
| Retrieval-Augmented Generation (RAG) | Baseline expectation for any LLM role 2025–2026 (InterviewQuery, ResumeAdapter) | Summary + first Experience bullet for LLM roles |
| LangChain | Modal AI Engineer skill per Dice 2026 data (ResumeAdapter, InterviewQuery) | Skills section + Experience bullets |
| Prompt Engineering | LinkedIn Skills on the Rise 2026 top ranking (ResumeAdapter, MentorCruise) | Summary + Skills |
| PyTorch | Core framework; confirmed across resume.io, ResumeWorded, TealHQ | Skills section (ML/DL category) |
| Vector Databases | Not having it is "a red flag in 2026" (ResumeAdapter, InterviewQuery) | Skills + Projects section |
| Machine Learning Pipelines | Top hard skill per TealHQ analysis of 1,000 AI JDs | Experience bullets |
| Natural Language Processing (NLP) | Confirmed resume.io, ResumeWorded, MentorCruise; use both "NLP" and full form | Summary + Skills |
| Docker / Kubernetes | Core deployment stack; confirmed resume.io, ResumeWorded, TealHQ | Skills (MLOps category) |
| AWS / Azure / GCP | 73% of backend/AI JDs mention cloud (ResumeAdapter 2026) | Skills (Cloud category) + Experience |
| MLflow | MLOps tracking; confirmed InterviewQuery, ResumeAdapter | Skills (MLOps category) |
| Fine-Tuning | Confirmed resume.io, ResumeAdapter, TealHQ | Skills + Projects if applicable |
| FastAPI | AI service deployment; confirmed ResumeAdapter, TealHQ | Skills + Experience |
| TensorFlow | Core framework; confirmed resume.io, ResumeWorded | Skills section (ML/DL category) |
| API Integration | Application-layer expectation; confirmed MentorCruise, InterviewQuery | Experience bullets |
| CI/CD | Deployment pipeline; confirmed resume.io, MentorCruise | Skills (MLOps) |
| SQL | Non-negotiable across data/AI roles (ResumeAdapter 2026) | Skills (Data category) |
| Embeddings | Core GenAI concept; confirmed ResumeAdapter, InterviewQuery | Summary + Skills |
| LlamaIndex | Orchestration framework; confirmed ResumeAdapter, InterviewQuery | Skills (LLM Stack) |
Section order that scores
The order matters. ATS parsers weight content closer to the top, so leading with the right sections lifts your keyword score before the parser ever reaches your work history.
- 1
Contact Block (name, email, phone, LinkedIn URL, GitHub URL, portfolio/personal site if applicable
no icons, no photo, no mailing address)
- 2
Professional Summary (2
3 sentences: seniority + primary stack + one flagship metric)
- 3
Technical Skills (grouped by category
see Layout Spec)
- 4
Work Experience (reverse-chronological; 3
6 bullets per role)
- 5
Projects (1
3 shipped AI projects with measurable outcomes; include model/framework/metric)
- 6
Education (degree, institution, graduati
Education (degree, institution, graduation year; GPA only if 3.7+ and within 3 years)
- 7
Certifications (dedicated section; list
Certifications (dedicated section; list name, issuing org, year)
Bullet examples that work
Each follows the STAR-with-stack pattern: action verb, tool or method, business outcome, and a hard number.
Architected a RAG pipeline using LangChain and Pinecone on AWS Bedrock, reducing hallucination rate by 34% and cutting average response latency from 2.1s to 0.7s (p95)
Fine-tuned Llama-3-8B using QLoRA on 45K proprietary support tickets, achieving 91% intent classification accuracy vs. 74% baseline — deployed via vLLM serving 12K requests/day
Built multi-agent orchestration system with LangGraph and GPT-4o to automate contract review workflow, reducing attorney review time by 60% across 800 documents/month
Productionized ML inference pipeline (PyTorch + TorchServe + Kubernetes) for real-time fraud scoring at 8K QPS with p99 latency under 45ms
Integrated OpenAI Assistants API with FastAPI backend and pgvector knowledge base, enabling semantic search over 2M product SKUs with 92% user satisfaction score
ATS killers to avoid
Each of these is documented to break parsing across major ATS platforms. Avoid them and your score climbs even without rewriting a single bullet.
- Two-column or sidebar layout — ATS concatenates columns into nonsense text, destroying all keyword extraction
- Proficiency bars or star ratings in the Skills section — visual elements are invisible to parsers; ATS reads zero keywords from them
- Icons replacing text in contact block (phone icon, email icon, LinkedIn bird icon) — many parsers render as [NULL] or skip entirely
- Tables used to organize skills or experience — same concatenation problem as two-column layouts
- Contact information placed in document header/footer — ATS scrapers frequently skip header/footer regions
- Custom embedded fonts or Canva-exported PDFs — layout is image-encoded; parsers see zero text Profession-specific content killers:
- Generic "AI expert" or "machine learning professional" without naming the specific stack — modern ATS uses semantic context, not just keyword presence; vague claims score near zero
- Listing "ChatGPT" or "AI tools" without framework specificity — recruiters filter these out as noise; name the API, the framework, the model version
- Mixing AI Engineer keywords with ML Research keywords indiscriminately — ATS role-matching treats "CUDA kernel optimization" and "LLM orchestration" as different role clusters; mismatches lower overall relevance score
- Omitting vector database experience entirely — confirmed red flag for any 2026 LLM role (ResumeAdapter, InterviewQuery)
Frequently asked questions
What ATS score should a ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume target?
Aim for 96 or higher. The structure on this page combines a single-column layout, the section order recommended for ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) roles, and 15-25 validated keywords placed in the summary and top bullets so the resume earns location-weighted points where ATS parsers look first.
How long should a ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume be?
One page for 0-5 years of experience and two pages for 6+ years. Never truncate quantified achievements to fit a single page — let the document flow cleanly to page 2 rather than dropping metrics that prove impact.
What are the most important keywords on a ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume?
The highest-frequency keywords for ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) job descriptions are Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering. Place the top three in your summary (1.5x ATS weight) and repeat each in the top bullet of the role where you used it.
Where should skills go on a ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume?
see Layout Spec) Group skills with inline category labels rather than rendering them in tables or visual grids — ATS parsers drop or scramble table cell contents.
What's the biggest formatting mistake on ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resumes?
Two-column or sidebar layout — ATS concatenates columns into nonsense text, destroying all keyword extraction Single-column layouts with plain text section headers parse reliably across every major ATS, while creative templates with sidebars, icons, or skill bars routinely lose data during parsing.
Should I include a photo or objective on a ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume?
No photo on US resumes — most ATS platforms either reject embedded images or strip them, and some companies discard photo resumes for compliance reasons. Replace any objective statement with a 3-4 sentence professional summary that includes your top keywords.
Free tools for ai engineer (also: generative ai engineer, llm engineer, applied ai engineer)s
Use the same scoring engine and AI tailoring that built this example on your own resume — both tools run free without an account.
Score my ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume free
Free ATS scan against any ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) job description. See your match score, missing keywords, and ghost skills in 30 seconds.
Open the ATS checkerTailor a ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) resume to a JD
AI rewrites only the bullets that miss the JD, with a side-by-side diff so your ai engineer (also: generative ai engineer, llm engineer, applied ai engineer) voice stays intact.
Open the tailorRelated resume examples
Data Analyst Resume Example
Free data analyst resume example with the exact ATS keywords, section order, and bullet patterns that score 97+ on real applicant tracking systems in 2026.
View exampleData Engineer Resume Example
Free data engineer resume example with the exact ATS keywords, section order, and bullet patterns that score 97+ on real applicant tracking systems in 2026.
View exampleData Scientist Resume Example
Free data scientist resume example with the exact ATS keywords, section order, and bullet patterns that score 96+ on real applicant tracking systems in 2026.
View exampleMachine Learning Engineer Resume Example
Free machine learning engineer resume example with the exact ATS keywords, section order, and bullet patterns that score 96+ on real applicant tracking systems in 2026.
View examplePrompt Engineer Resume Example
Free prompt engineer resume example with the exact ATS keywords, section order, and bullet patterns that score 97+ on real applicant tracking systems in 2026.
View example