Academic Intelligence Engineer

Há 3 dias


Patos de Minas, Brasil Bebeeengineer Tempo inteiro

We are seeking a skilled Engineer to lead the development of our core intelligence.This role requires expertise in information retrieval, scalable backend systems, and generative AI.You will 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.This is a hands-on role with real ownership.You will move fast, experiment, and ship production systems that impact thousands of researchers worldwide.Strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.Skilled 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.Key qualifications include a research-driven and pragmatic mindset with a focus on measurable outcomes.This is a full-time role with significant responsibility and long-term upside.To apply, send your resume and details of past projects, especially production-level work with search, retrieval, or GenAI pipelines.Include a short note on why you want to design algorithms in this field.



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