Software Engineer — Agentic Search Systems
Mercor
$80 – $150 · as listed
We're looking for experienced software engineers to work on agentic search systems through Mercor's platform. This remote role focuses on designing and optimizing search infrastructure built with modern AI agents and large language models. You'll tackle core challenges around relevance, retrieval optimization, and system performance—the kind of work that powers production applications users rely on daily. The position suits engineers who've shipped real search systems and understand how to measure and iterate on their impact.
This is advanced-level, task-based work arranged at 40 hours per week. Ideal candidates have hands-on experience owning search relevance or retrieval components in production environments and know how to translate user needs into quantifiable improvements. The listed pay range is $80–$150 per hour.
From the listing: Mercor marketplace · task-based · 40h/week. 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
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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