
AI Engineering Lead
11 hours ago
We are a pioneering AI research platform designed to revolutionize academic discovery. Our cutting-edge system understands how papers connect, ranks relevance, summarizes insights, and maps citations.
This innovation removes weeks of manual work, streamlining every stage of academic research.
The Role
As an AI Engineer, you will spearhead the development of our core intelligence behind this platform. This challenging role demands expertise in information retrieval, scalable backend systems, and generative AI.
You will:
- Design and optimize semantic search pipelines, graph-based retrieval, and agentic systems.
- Develop 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 drive fast-paced innovation, 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.
- Proficient 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.
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