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How ATS Screening Works →Geek Tech (Stack Highlights)David Gao
LLM & AI Application Engineer Resume Template
LLM & AI Application Engineer
Crafted for LLM Application Engineers, RAG Specialists, and AI Agent Architects. Highlights retrieval precision, prompt engineering, and agent workflows.
✓RAG & Agent expertise: Built multi-stage retrieval + reranking pipeline, lifting enterprise QA accuracy to 94.8%
✓Model engineering: Fine-tuned domain models with LoRA/QLoRA and deployed high-throughput vLLM clusters
✓ATS keyword alignment: Tuned for LLM, RAG, LangChain, LlamaIndex, PyTorch, Vector DB, and Agentic Workflows
Large Language Models (LLM)RAG (Retrieval-Augmented Generation)Agentic Workflows & Multi-AgentLangChain / LlamaIndexVector Database (Milvus / Pinecone / Qdrant)PyTorch+6