
Expert AI Researcher and Developer
4 days ago
About us, a pioneering research platform powered by AI.
We revolutionize the literature review process, making it efficient and accessible for researchers worldwide. Our system understands paper connections, ranks relevance, summarizes insights, and maps citations – saving weeks of manual work.
This is just the beginning. We're building a comprehensive AI research suite that streamlines every stage of academic discovery.
If you want to design algorithms accelerating science in medicine, AI, climate, and more, this is the place to do it.
The Role
We're hiring an AI Engineer to lead the development of our core intelligence. This role requires deep expertise in information retrieval, scalable backend systems, and generative AI.
You will:
- Build and optimize semantic search pipelines, graph-based retrieval, and agentic systems.
- Design 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.
- Contribute directly to the infrastructure making cutting-edge science more efficient.
This is a hands-on role with real ownership. You'll move fast, experiment, and ship production systems impacting thousands of researchers globally.
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 serving 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.
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