AI Engineer Resume Guide — LLMs, RAG, and Agent Keywords

AI engineering is the hottest resume category in 2026. Show real shipped systems, not just coursework.

Highlight LLM work: 'Built a RAG system over 50K internal documents using LangChain, improving answer accuracy to 94%.'

Show agents and tools: 'Developed an AI agent with function-calling that automates support triage, resolving 40% of tickets.'

List the stack: Python, PyTorch, LangChain, LlamaIndex, vector DBs (Pinecone, Weaviate, pgvector), Hugging Face, OpenAI/Gemini APIs.

Quantify performance: token cost, latency, accuracy, throughput, and cost savings.

Show fine-tuning: 'Fine-tuned a Llama model for legal domain QA, boosting F1 from 0.71 to 0.88.'

Include evaluation and safety: evals, guardrails, and hallucination reduction show production maturity.

MLOps matters: 'Deployed and monitored LLM endpoints with MLflow, maintaining 99.9% availability and <2s p95 latency.'