Yuri is a Technical Project Manager at Blits.ai, responsible for building and delivering the conversational AI agents that enterprises actually put in front of their customers. His work sits at the intersection of prompt engineering, data architecture, and real-world deployment: turning a client's business requirements into an agent that performs reliably in production, not just in a demo room.
Yuri builds the RAG pipelines, designs the evaluation frameworks, and runs the testing cycles that determine whether an agent gives a customer the right answer or confidently gives them the wrong one.
"The data pipeline is the product as much as the conversation is. If you haven't tested how your agent breaks, you don't know how it works."
A significant part of the job is language. Blits.ai supports over 100 languages, and Yuri tests them continuously, because a bot that speaks to a customer in their actual language, the way they actually use it, feels like a helper. One that speaks in generic English feels like a foreign system that doesn't understand their world. From Saudi dialect Arabic to South African vernacular, getting the cultural and linguistic register right is what separates a working agent from a translation layer.
"The difference between a good demo and a good product is about a thousand hours of evaluation nobody sees." - Yuri Ihnatov, Technical Project Manager