Data Architect

Há 6 dias


Guarulhos, Brasil Bebeeresearch Tempo inteiro

Unlock the Power of AI-Powered ResearchThis role requires expertise in information retrieval, scalable backend systems, and generative AI.Build and optimize semantic search pipelines, graph-based retrieval, and agentic systems.Design and deploy scalable APIs and services capable of serving hundreds of concurrent requests.Architect, implement, and productionize vector databases and embedding-based retrieval systems.Work on GenAI integrations including react agents, graph agents, prompt engineering, and LLM orchestration.Set up full-stack search engines from scratch that can handle real-world academic workloads.Contribute directly to the infrastructure that makes cutting-edge science more efficient.The ideal candidate will have a strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.Key qualifications include:Proficiency in Python for backend development with the ability to build scalable APIs and services.Past experience deploying systems at scale, including search engines, retrieval pipelines, or embedding models.Ability to design infrastructure that serves hundreds of concurrent requests.Experience setting up and hosting APIs with public access while balancing speed, cost, and reliability.This role has significant responsibility and long-term upside for a skilled professional who can drive innovation in AI-powered research.



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