Scalable Search Systems Engineer

Há 5 dias

Mauá, Brasil Bebeesearch Tempo inteiro

AI Engineer for Scalable Search SystemsJob Description:We are seeking a skilled AI Engineer to lead the development of our scalable search systems.Our system helps researchers globally, from PhD students to academic professionals, go from query to comprehensive reviews in minutes.The ideal candidate will have deep expertise in information retrieval and semantic search pipelines, building and optimizing graph-based retrieval, and agentic systems.They should be proficient in designing and deploying scalable APIs and services that can serve hundreds of concurrent requests.Key responsibilities include architecting, implementing, and productionizing vector databases and embedding-based retrieval systems, working on GenAI integrations, and setting up full-stack search engines that can handle real-world academic workloads.Required Skills and Qualifications:Strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrievalSkilled Python for backend developmentPast experience deploying systems at scaleAbility to design infrastructure that serves hundreds of concurrent requestsExperience setting up and hosting APIs with public access while balancing speed, cost, and reliabilityBenefits:As a valued member of our team, you will contribute directly to the infrastructure that makes cutting-edge science more efficient.You will work in a research-driven and pragmatic environment with a focus on measurable outcomes.

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