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ATS-Optimised Example

LLM Engineer Resume Example

Prompts, RAG, fine-tuning, and the eval rigor that keeps models honest.

LLM engineer resume example with retrieval pipeline, fine-tuning, and evaluation bullets. The exact keywords AI-first companies and frontier-lab applied teams screen for. Free on LumiCV.

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Experience

Fine-tuned Mistral-7B with QLoRA on 240K labelled support conversations (4xA100, 18 hours) - hit 93% intent-match accuracy, replaced GPT-4 path and cut inference cost from $0.018 to $0.0009 per query.

Built hybrid RAG pipeline (BM25 + bge-large dense + Cohere rerank over 4M docs) lifting answer faithfulness from 71% to 94% on 800-case eval set - shipped to 180K daily users.

Deployed self-hosted Llama-3 70B on vLLM with speculative decoding and prompt caching - sustained 240 tokens/sec at p95 1.1 s TTFT, 5.4x cheaper than equivalent GPT-4o-mini volume.

Skills & Keywords
LLM GPT-4 Claude Llama fine-tuning LoRA
Strong resume bullets

What strong LLM Engineer resume bullets look like

Each bullet: strong verb → specific action → quantified result. Copy the structure, not the words.

1

Fine-tuned Mistral-7B with QLoRA on 240K labelled support conversations (4xA100, 18 hours) - hit 93% intent-match accuracy, replaced GPT-4 path and cut inference cost from $0.018 to $0.0009 per query.

2

Built hybrid RAG pipeline (BM25 + bge-large dense + Cohere rerank over 4M docs) lifting answer faithfulness from 71% to 94% on 800-case eval set - shipped to 180K daily users.

3

Deployed self-hosted Llama-3 70B on vLLM with speculative decoding and prompt caching - sustained 240 tokens/sec at p95 1.1 s TTFT, 5.4x cheaper than equivalent GPT-4o-mini volume.

How LumiCV helps: Paste any job description and our AI rewrites your bullets to match the role's exact keywords. Every template is ATS-parseable out of the box.

ATS keywords

Keywords your LLM Engineer resume needs

These terms appear most frequently in LLM Engineer job descriptions. Missing them means your resume won't surface.

LLM GPT-4 Claude Llama fine-tuning LoRA QLoRA RAG vLLM Hugging Face prompt engineering PyTorch

How to write a LLM Engineer resume

LLM engineer is the SEO term most candidates type and most recruiters now post under - it overlaps heavily with 'AI engineer' and 'generative AI engineer' but emphasises depth on the model layer itself: prompt design, retrieval, fine-tuning, distillation, quantisation, and serving. Your resume must show you've moved past 'I called the API' into the part of the stack where small decisions move accuracy by points.

The strongest LLM engineer resumes quantify three things: quality (eval scores against a documented golden set), cost (tokens or $/query and the optimisation that brought it down), and latency (TTFT and tokens/second). Reference real techniques you've used - LoRA / QLoRA for fine-tuning, vLLM or TGI for serving, speculative decoding, prompt caching, structured-output enforcement, JSON-mode reliability. Hiring managers also look for hands-on experience with at least two of: OpenAI, Anthropic, open-weight (Llama, Mistral, Qwen), and a self-hosted setup.

ATS keywords: LLM, GPT-4, Claude, Llama, fine-tuning, LoRA, QLoRA, RAG, vLLM, Hugging Face, vector database, prompt engineering, evaluation, quantisation, Python, PyTorch.

This example works for

LLM Engineer Generative AI Engineer AI Engineer Foundation Model Engineer Applied LLM Engineer

What you get with every LumiCV resume

LLM Engineer resume FAQ

What should a LLM Engineer resume include?

A strong LLM Engineer resume should include: a concise professional summary, quantified experience bullets showing impact, a skills section with relevant keywords, and clean ATS-parseable formatting. See the example bullets above for the level of specificity hiring managers expect.

How do I make my LLM Engineer resume ATS-friendly?

Use a single-column or ATS-safe two-column template, include role-specific keywords naturally in your bullets, avoid tables and text boxes, and export as a real-text PDF (not an image). LumiCV's templates are parse-tested: each is rendered to PDF and verified with a machine parser to recover every field in the correct reading order.

What keywords should a LLM Engineer resume have?

Key ATS keywords for a LLM Engineer resume include: LLM, GPT-4, Claude, Llama, fine-tuning, LoRA, QLoRA, RAG, vLLM, Hugging Face, prompt engineering, PyTorch. Use these naturally throughout your experience bullets and skills section - keyword stuffing in a hidden section will not work on modern ATS systems.

How long should a LLM Engineer resume be?

For most LLM Engineer roles, one page is ideal for under 7 years of experience. Two pages are appropriate for senior roles with 10+ years. Beyond two pages is rarely justified. Cut anything that doesn't directly support why you're qualified for the role you're targeting.

Can I use LumiCV's LLM Engineer resume example for free?

Yes. LumiCV's free plan includes all 11 country formats and 3 ATS templates and lets you export your resume as a PDF. Pro (from $8.25/month billed yearly) adds 14 more templates and unlimited AI tailoring - paste a job description and LumiCV rewrites your bullets to match the role's keywords.

Pair this with a LLM Engineer cover letter

LLM engineering cover letters that show depth on the model layer, not just API plumbing.

See the LLM Engineer cover letter example

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How AI hiring managers actually screen resumes - across all 11 AI/ML roles.

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