
Advanced Search Systems Architect
2 days ago
Academic Research Accelerator
Role OverviewAs a core contributor to our research platform, you will lead the development of cutting-edge intelligence systems that empower researchers worldwide.
Key Responsibilities:- Design and deploy scalable backend systems for high-traffic search engines.
- Implement vector databases and embedding-based retrieval systems.
- Collaborate on GenAI integrations including react agents, graph agents, and prompt engineering.
- Develop full-stack search engines from scratch that can handle real-world academic workloads.
This is a hands-on role with significant ownership and opportunities for growth. You will experiment, innovate, and ship production systems that drive meaningful outcomes.
Qualifications- Strong expertise in semantic search, vector databases, LLM frameworks, and agent-based systems.
- Proficiency in Python for backend development with the ability to build scalable APIs and services.
- Past experience deploying production-level systems at scale, including search engines, retrieval pipelines, or embedding models.
A competitive compensation package based on experience, expertise, and scope of ownership.
How to ApplySend your resume, details of past projects, and a short note on why you want to accelerate research with us.
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