Academic Intelligence Developer

Unlocking the Future of ResearchWe're revolutionizing the way researchers work by streamlining literature reviews and paper connections.Our cutting-edge platform serves a global community, from PhD students to professionals, enabling them to transition from query to comprehensive review in minutes.Our system boasts advanced capabilities, including paper understanding, relevance ranking, summary generation, and citation mapping.This eliminates the need for weeks of manual labor.We're developing an integrated AI research suite that simplifies every stage of discovery.Join us in designing algorithms that accelerate science in medicine, AI, climate, and more.As a key member of our team, you'll lead core intelligence development behind our platform, requiring expertise in information retrieval, scalable backend systems, and generative AI.Develop semantic search pipelines, graph-based retrieval, and agentic systems.Design and deploy scalable APIs and services for concurrent requests.Architect vector databases, embedding-based retrieval systems, and GenAI integrations.Set up full-stack search engines from scratch for real-world academic workloads.This is a hands-on role with real ownership.You'll move fast, experiment, and ship production systems impacting thousands of researchers worldwide.Key Responsibilities:Strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.Skilled in Python for backend development and scalable APIs.Past experience deploying systems at scale, including search engines or retrieval pipelines.Ability to design infrastructure serving hundreds of concurrent requests.Attractive compensation packages are available based on experience, expertise, and scope of ownership.