Streamlining Academic Discovery

AI Research EngineerAnswerThis is an innovative AI-powered research platform designed to streamline the literature review process for researchers worldwide.We serve a global community of PhD students and academic professionals, empowering them to convert queries into comprehensive, cited reviews in mere minutes.Our system excels at understanding how papers connect, ranking relevance, summarizing insights, and mapping citations – all with the aim of eliminating weeks of manual labor.However, our vision extends beyond the current capabilities.We are committed to building a vertically integrated AI research suite that simplifies every stage of academic discovery.This role requires exceptional expertise in information retrieval, scalable backend systems, and generative AI.You will be responsible for designing and implementing algorithms that directly accelerate science in medicine, AI, climate, and more.Key Responsibilities:Design and optimize semantic search pipelines, graph-based retrieval, and agentic systems.Develop 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.Contribute to the infrastructure that makes cutting-edge science more efficient.Requirements:Strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.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.Research-driven and pragmatic mindset with a focus on measurable outcomes.About This Opportunity:This is a hands-on role with real ownership and long-term upside.You will have the opportunity to move fast, experiment, and ship production systems that impact thousands of researchers worldwide.