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 β 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 β $200 for your time, paid on completion of the call.
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Search Systems Engineer - Expert employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.