AI Prompt Engineer

Morning typically starts with reviewing overnight outputs from production prompts and triaging any failures or quality drops. You might run A/B tests on a new prompt variant for the customer support chatbot, comparing response quality and token costs across different formulations. Midday often involves collaboration with product teams—translating their requirements into precise prompt specifications and guardrails. You document your approach in a prompt library that the whole team uses. Afternoons are often spent on complex, multi-step prompt systems. Perhaps you're designing a retrieval-augmented generation pipeline for a legal document assistant, iterating on chunking strategies and retrieval prompts. You write evaluation scripts to measure accuracy, relevance, and hallucination rates. Before the day ends, you review pull requests from other prompt engineers and mentor junior team members on best practices.