Obsidian is seeking engineers who have shipped production search systems and who think deeply about the requirements and optimizations of these systems. You have likely owned relevance or retrieval on a system real users depended on, and you have decided how to quantify impact and improvements.
You’ve built out systems related to agentic search and scaled data infrastructure to power modern search systems. This is a 25-minute conversational interview with no coding or take-home, and we’ll pay a
#J-18808-LjbffrLead Search Optimization Engineer for Agentic & LLM in san francisco at Unknown Company
This position is listed as full time and onsite.