GenAI Engineer resume for LLM + generative AI roles
GenAI Engineer roles want fine-tuning depth, RAG production, and prompt management. We rewrite yours around generative AI you shipped, not just prompted.
What every resume must prove
- LLM application in production (chat, search, or content)
- RAG pipeline with vector database
- Prompt engineering and prompt registry
- Fine-tuning (PEFT, LoRA, QLoRA) on open models
- Evaluation and guardrails
What makes you stand out
- Multi-modal GenAI (text + image + audio)
- Custom inference stack with vLLM
- Cost optimization via model routing
- Domain-specific fine-tuning
- Responsible AI and safety reviews
Portfolio projects to put on your resume
Fine-tuned Llama for support
LoRA · HuggingFace · vLLM
Cut support cost 30% with on-prem fine-tuned model
Multi-modal search
CLIP · pgvector · FastAPI
Unified text + image search for 1M assets
Prompt registry
LangSmith · LiteLLM · Redis
Versioned 200 prompts with rollback support
ATS keywords for this role
Include these verbatim where they match your real experience. ATS systems scan for exact terms — but never lie. We help you place them truthfully during the rewrite.
Bullet templates you can copy
Fine-tuned {model} with LoRA, cutting support cost {X}% with on-prem servingBuilt multi-modal search with CLIP + {vector_db} for {N} assetsVersioned {N} prompts in LangSmith with rollback and A/B testingDeployed GenAI feature on vLLM serving {N} requests/day at {latency} p99Replace placeholders like {X}, {N}, {latency} with your real numbers.
Common mistakes to avoid
- Only ChatGPT prompting, no production GenAI
- No fine-tuning or custom model work
- Missing evaluation metrics
- No cost or latency numbers
- Listing prompt courses instead of shipped features
Get your GenAI Engineer resume rewritten
Full Resume Rewrite at ₹4,999 (India) or $149 USD (international) — 5 days turnaround, 2 revisions, role-specific ATS optimization. 🎓 Students save 30%.