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Obsidian is seeking engineers who have shipped production search systems, including agentic search. You should have experience with relevance or retrieval that real users depend on, and the ability to quantify impact and improvements in these systems.
The role emphasizes scalable data infrastructure to power modern search systems and thoughtful tradeoffs in design. The interview process is a 25-minute conversational session focusing on your approach to search quality, evaluation, and the lessons
We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requirements and optimizations of those systems.
You've probably:
Owned relevance or retrieval on a system real users depended on
Decided how to quantify impact and improvements with these systems.
Built out systems related to agentic search.
Scaled data infrastructure to power modern search systems.
This is a 25-minute conversational interview. No coding, no take-home. We want to hear how you actually think about search quality, evaluation, and the tradeoffs you've made in real systems. Bring war stories — the messier and more specific, the better.
If your interview stands out, we'll follow up with a paid 30-minute live conversation with our team — $200 for your time, paid on completion of the call.