Summary

Staff Applied AI Researcher focused on agentic search, retrieval, and ranking systems for AI agents. The role develops and evaluates LLM-driven approaches and ships them into production; the work arrangement is not specified.

Responsibilities

• Drive research direction for retrieval and ranking systems
• Design multi-stage retrieval and reranking architectures
• Develop methods grounding LLMs in real-time web data
• Define evaluation paradigms and metrics for agentic systems
• Experiment with embeddings, hybrid search, and reranking
• Analyse relevance, latency, and cost trade-offs
• Deploy low-latency systems with engineering teams