Applied AI Researcher

This role focuses on driving applied AI research and technical direction for retrieval and ranking systems within agent-native search. The position involves designing multi-stage retrieval architectures and developing methods to ground LLMs in real-time web data while ensuring quality and scalability. The successful candidate will lead experimentation with modern retrieval technologies and define new evaluation frameworks for agentic systems. The role requires partnering with engineering teams to deploy AI systems in high-throughput, low-latency production environments.