Research Engineer

Artificial Intelligence ExpertWe are developing an advanced AI research platform to streamline academic discovery.The role involves designing and optimizing semantic search pipelines, graph-based retrieval systems, and agentic technologies.You will 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.RequirementsDeep understanding of 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.A research-driven and pragmatic mindset with a focus on measurable outcomes.