ATS resume checker for LLM Engineer roles
We are looking for a LLM Engineer to build retrieval-augmented generation features for production. You will evaluate and improve LLM output quality systematically, and optimise inference cost and latency. Required: hands-on experience with Prompt engineering, RAG pipelines, Vector databases, Fine-tuning, and working knowledge of OpenAI API, LangChain, Pinecone. Preferred: DeepLearning.AI certifications. Success in this role is measured by answer accuracy, latency per request, cost per 1k requests.
Skills screened
- Prompt engineering
- RAG pipelines
- Vector databases
- Fine-tuning
- LLM evaluation
- Guardrails
- Embeddings
- Inference optimisation
Tools
- OpenAI API
- LangChain
- Pinecone
- Hugging Face
- vLLM
Qualifications
- DeepLearning.AI certifications
Questions
Which keywords should a LLM Engineer resume include?
Pull them from the specific job description first. Across most LLM Engineer postings the recurring terms are Prompt engineering, RAG pipelines, Vector databases, Fine-tuning, LLM evaluation, Guardrails, plus tools such as OpenAI API, LangChain, Pinecone. ResumeScanner extracts the exact set from the JD you paste rather than relying on a generic list.
What match score is good for LLM Engineer roles?
Anything above 75% usually means your resume covers the required skills and the seniority band. Below 60% there is normally a real gap — missing RAG pipelines or OpenAI API experience — not just a wording problem. We show the reasoning behind the score so you can tell the two apart.
How do I quantify LLM Engineer experience?
Tie each bullet to one of answer accuracy, latency per request, cost per 1k requests. Even approximate figures beat none: reviewers read them as evidence you tracked outcomes.
Do DeepLearning.AI certifications certifications matter for this role?
They rarely replace experience, but they break ties. When DeepLearning.AI certifications appears in a JD's preferred list, our checker flags it as a missing keyword if your resume does not mention it.
Should I use a different resume for each LLM Engineer application?
Not a different resume — a re-aligned one. Titles vary (Generative AI Engineer, Applied AI Engineer) and so do required tools. Re-running the check per JD takes seconds and normally surfaces two or three swaps worth making.