Search Engine Architect

Senior Semantic Search EngineerWe are seeking an experienced Senior Semantic Search Engineer to join our team.This role will involve building and optimizing search pipelines, designing scalable APIs and services, and architecting vector databases.Main Responsibilities:Design, implement, and deploy semantic search pipelines using graph-based retrieval and agentic systems.Develop and optimize scalable APIs and services capable of serving hundreds of concurrent requests.Architect and implement 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.This is a hands-on role with real ownership.You will move fast, experiment, and ship production systems that impact thousands of researchers worldwide.RequirementsStrong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.Expertise 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 is required.