Transforming Academic Research Through Intelligent Systems Engineer

Há 5 dias


Tijucas, Brasil Bebeegenerative Tempo inteiro

Role SummaryWe are seeking an experienced engineer to lead the development of our core intelligence.The ideal candidate will have expertise in information retrieval, scalable backend systems, and generative AI.About the JobThis role requires a strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.You will design and deploy scalable APIs and services capable of serving hundreds of concurrent requests.You will also architect, implement, and productionize vector databases and embedding-based retrieval systems.Additionally, you will work on GenAI integrations including react agents, graph agents, prompt engineering, and LLM orchestration.ResponsibilitiesB build and optimize semantic search pipelines, graph-based retrieval, and agentic systems.D design and deploy scalable APIs and services capable of serving hundreds of concurrent requests.A architect, implement, and productionize vector databases and embedding-based retrieval systems.W work on GenAI integrations including react agents, graph agents, prompt engineering, and LLM orchestration.RequirementsS strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.S skilled in Python for backend development with the ability to build scalable APIs and services.P past experience deploying systems at scale, including search engines, retrieval pipelines, or embedding models.A ability to design infrastructure that serves hundreds of concurrent requests.E experience setting up and hosting APIs with public access while balancing speed, cost, and reliability.R research-driven and pragmatic mindset with a focus on measurable outcomes.About UsWe are a research platform built to eliminate the most time-consuming part of academic research: the literature review.We serve researchers globally, from PhD students to academic professionals, helping them go from query to a comprehensive, cited review in minutes.



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