8+ years of software engineering experience with a focus on production systems 1.5+ years of hands-on LLM experience building real applications with GPT, Claude, Llama, or other modern LLMs Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage Experience building multi-step AI agents, LLM chaining, and complex workflow automation Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques Expert-level Python skills for production AI systems Strong experience building scalable backend systems, APIs, and distributed architectures Experience with LangChain, LlamaIndex, or other LLM application frameworks Proven ability to integrate multiple APIs and services to create advanced AI capabilities Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure) Experience implementing rigorous evaluation frameworks for LLM systems including accuracy, safety, and performance metrics Understanding of experimental design for AI system optimization Experience with production monitoring, alerting, and debugging complex AI systems Experience building and maintaining scalable data pipelines that power AI systems