
Unlock Academic Potential
2 weeks ago
Job Title: AI Expert
About UsWe are a pioneering platform leveraging cutting-edge technology to revolutionize the research landscape. Our mission is to empower researchers worldwide by eliminating the most time-consuming aspects of academic work.
Our system utilizes advanced algorithms to comprehend paper connections, rank relevance, summarize insights, and map citations. This enables researchers to save weeks of manual labor. We are building a comprehensive AI research suite that streamlines every stage of academic discovery.
This is a highly engaging role with real ownership. You will drive innovation, experiment, and deploy production systems that impact thousands of researchers globally.
The RoleWe are seeking a PhD-level AI expert to lead the development of our core intelligence platform. This role demands expertise in information retrieval, scalable backend systems, and generative AI.
- Design and optimize semantic search pipelines, graph-based retrieval, and agent-based systems.
- Deploy 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.
You will contribute directly to the infrastructure that drives cutting-edge science efficiency.
RequirementsTo succeed in this role, you should have:
- A strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.
- Skills 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.
We are looking for a research-driven and pragmatic mindset with a focus on measurable outcomes.
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