AI Engineer Resume Example

“AI engineer with 4+ years building production AI applications using large language models, retrieval-augmented generation, and multi-modal AI systems. Expert in prompt engineering, LLM orchestration frameworks, and designing AI-powered products that deliver measurable business value.”

• Built a RAG-powered customer support system that handles 50,000+ queries a month at 92% accuracy. Human escalations dropped 65%
• Designed a multi-agent workflow with LangChain using 5 specialized agents for document analysis and summarization
• Set up an LLM evaluation framework that compares accuracy, latency, and cost across 3 model providers. Saved $200K a year by switching providers for some tasks
• Built the guardrails and content moderation pipeline for a consumer-facing chatbot. Blocks 99.7% of harmful content
• Fine-tuned an open-source LLM on domain-specific data. Got GPT-4-level performance at 90% lower inference cost for our use case
• Responsible for maintaining the vector database (Pinecone) and the chunking/embedding pipeline that feeds the RAG system
• Worked with product to define the AI feature roadmap and figure out which use cases were actually worth building versus just cool demos
• Wrote prompt templates and tested them systematically across edge cases. Maintained a prompt library with versioning
• Built the FastAPI service that wraps our LLM calls with retry logic, token tracking, and structured output parsing

Include these keywords in your resume to pass Applicant Tracking Systems.

• DeepLearning.AI Generative AI with LLMs
• Google Cloud Professional Machine Learning Engineer