Diffusion, multi-modal, and agentic systems shipping to real users.
Generative AI engineer resume example covering diffusion models, multi-modal pipelines, and agent orchestration. The format and ATS keywords frontier labs and AI-product teams expect. Free on LumiCV.
Shipped a SDXL + ControlNet image pipeline with LoRA-tuned brand styles to 92K marketers - 1.4M images/month, NSFW filter at 99.4% recall, infra cost held at $0.012/image with batched inference on A10Gs.
Built a multi-modal agent (GPT-4o + Whisper + AnimateDiff) that generates explainer videos from a 60-second voice memo - 38 second median end-to-end, 81% of outputs accepted by users without edits, 230K videos generated in 6 months.
Reduced diffusion inference from 4.8 s to 0.9 s per image via SDXL Turbo distillation + TensorRT compilation + speculative-decoding text encoder - cut GPU bill by $42K/month with no measurable drop in human-rated quality.
Each bullet: strong verb → specific action → quantified result. Copy the structure, not the words.
Shipped a SDXL + ControlNet image pipeline with LoRA-tuned brand styles to 92K marketers - 1.4M images/month, NSFW filter at 99.4% recall, infra cost held at $0.012/image with batched inference on A10Gs.
Built a multi-modal agent (GPT-4o + Whisper + AnimateDiff) that generates explainer videos from a 60-second voice memo - 38 second median end-to-end, 81% of outputs accepted by users without edits, 230K videos generated in 6 months.
Reduced diffusion inference from 4.8 s to 0.9 s per image via SDXL Turbo distillation + TensorRT compilation + speculative-decoding text encoder - cut GPU bill by $42K/month with no measurable drop in human-rated quality.
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.
These terms appear most frequently in Generative AI Engineer job descriptions. Missing them means your resume won't surface.
Generative AI engineer is broader than LLM engineer - it covers anything that *creates* output: text, images, video, audio, code, 3D, agents that act in the world. The role overlaps with LLM engineer at the language layer but extends into Stable Diffusion / SDXL / Flux for image, AnimateDiff and SVD for video, MusicGen and Bark for audio, and increasingly tool-using agents built on top of all of the above. Your resume must show breadth across at least two modalities and depth in one.
The strongest generative AI resumes lead with shipped products, not research demos - the reader needs to know your model went into production with monitoring, safety filters, content provenance, and a cost ceiling that didn't blow the budget. Reference modality-specific eval frameworks: FID and CLIP-score for image, AVD and human pref for video, MOS for audio, and grounded-faithfulness for retrieval-augmented text. Senior roles also expect comfort with multi-modal models (GPT-4o, Gemini, Claude with vision, Qwen-VL) and at least one agentic framework (LangGraph, CrewAI, or hand-rolled tool loops).
ATS keywords: generative AI, diffusion, Stable Diffusion, SDXL, multi-modal, GPT-4o, Gemini, agents, RAG, fine-tuning, LoRA, ControlNet, Python, PyTorch, ComfyUI.
A strong Generative AI 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.
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.
Key ATS keywords for a Generative AI Engineer resume include: generative AI, diffusion, Stable Diffusion, SDXL, multi-modal, GPT-4o, agents, LoRA, ControlNet, PyTorch, CUDA, TensorRT. Use these naturally throughout your experience bullets and skills section - keyword stuffing in a hidden section will not work on modern ATS systems.
For most Generative AI 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.
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.
GenAI engineer cover letters that prove modality breadth - text, image, audio, video, agents.
See the Generative AI Engineer cover letter exampleSimilar roles worth comparing.
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.
Ship LLM-powered features that work in production - not just in demos.
AI engineer resume example with LLM integration, RAG pipeline, and evaluation bullets. Shows hiring managers you can build AI products that survive real users. Free on LumiCV.
Detection, segmentation, and on-device inference that ships at frame rate.
Computer vision engineer resume example with model accuracy, edge deployment, and CUDA optimisation bullets. Tuned for autonomous, robotics, and medical-imaging hiring. Free on LumiCV.
14 templates free, including every country format. AI tailoring from $8.25/mo. Cancel anytime.
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