AI Engineer Opportunity
We are seeking a skilled AI Engineer to lead the development of our core intelligence. This role requires expertise in information retrieval, scalable backend systems, and generative AI.
Responsibilities:
* Design and implement semantic search pipelines, graph-based retrieval, and agentic systems.
* Build 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.
This is a hands-on role with real ownership. You will move fast, experiment, and ship production systems that impact thousands of researchers worldwide.
Requirements:
* 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.
Benefits:
* A research-driven and pragmatic mindset with a focus on measurable outcomes.
* The opportunity to design algorithms that directly accelerate science in medicine, AI, climate, and more.
About Us:
We are an AI-powered research platform built to eliminate the most time-consuming part of academic research: the literature review. We serve researchers globally, from PhD students to academic professionals, helping them go from query to a comprehensive, cited review in minutes.