Artificial Intelligence Research Engineer

A New Era in Research Acceleration AnswerThis is an innovative AI-powered research platform designed to revolutionize the literature review process.Our mission is to empower researchers worldwide, from PhD students to academic professionals, by providing a comprehensive and cited review in minutes.The system understands how papers connect, ranks relevance, summarizes insights, and maps citations, thereby eliminating weeks of manual work.But that's just the beginning.We're building a vertically integrated AI research suite that streamlines every stage of academic discovery.If you're passionate about designing algorithms that directly accelerate science in medicine, AI, climate, and more, this is the perfect opportunity for you.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.Contribute directly to the infrastructure that makes cutting-edge science more efficient.This role requires deep expertise in information retrieval, scalable backend systems, and generative AI.You will move fast, experiment, and ship production systems that impact thousands of researchers worldwide.Requirements To be successful in this position, you'll need: A 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.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.A research-driven and pragmatic mindset with a focus on measurable outcomes.Join us in shaping the future of research.