Chief Algorithmic Researcher

About Our AI Research PlatformEliminate time-consuming literature review processes and accelerate scientific discovery.Our system understands paper connections, ranks relevance, summarizes insights, and maps citations.We're building a vertically integrated AI research suite that streamlines every stage of academic discovery.This hands-on role offers real ownership and the opportunity to design algorithms that impact thousands of researchers worldwide.You will:Develop semantic search pipelines and graph-based retrieval systems.Design and deploy scalable APIs and services for high-performance search capabilities.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 handle real-world academic workloads.This role requires deep expertise in information retrieval, scalable backend systems, and generative AI.Movement is fast-paced, with an emphasis on experimentation and shipping production systems that drive measurable outcomes.Key qualifications include strong backgrounds in semantic search, vector databases, LLM frameworks, agent-based systems, document retrieval, and Python for backend development.A research-driven and pragmatic mindset is essential.