AI Innovation Leader

2 days ago

Ajmer, Rajasthan, India beBeeResearch Full time US$ 20,000 - US$ 40,000

At the forefront of innovation, we are revolutionizing academic research with cutting-edge technology.

Our Mission:

We aim to eliminate the most time-consuming part of academic research: the literature review. Our system understands how papers connect, ranks relevance, summarizes insights, and maps citations.

What We Do:

We build a vertically integrated AI research suite that streamlines every stage of academic discovery. From query to comprehensive, cited review in minutes, our system removes weeks of manual work.

The Role:

We are hiring a PhD-level expert to lead the development of the core intelligence behind our platform. This role requires deep expertise in information retrieval, scalable backend systems, and generative AI.

  • Design and deploy semantic search pipelines, graph-based retrieval, and agentic systems.
  • Create 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 that makes cutting-edge science more efficient.

Requirements:

  • A strong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.
  • Proficiency 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.
  • The 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.
  • A research-driven and pragmatic mindset with a focus on measurable outcomes.

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