Leading Expert in Generative AI Systems

Há 12 horas

Recife, Pernambuco, Brasil beBeeResearch Tempo inteiro US$20.000 - US$40.000
AI Research Scientist Job

Location: Remote (Applications open worldwide)

Compensation: Depending on experience, expertise, and scope of ownership. This is a full-time role with significant responsibility and long-term upside.

Skills:

  • Semantic Search
  • Vector Databases
  • Prompt Engineering
  • GenAI Frameworks
  • React Agents
  • Graph Agents
  • Document Parsing
  • Python
  • Scalable APIs

About the Role

We are seeking an AI Research Scientist 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.

Responsibilities:

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

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 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.

How to Apply

Send the following to us

  1. Your resume.
  2. Details of past projects, especially production-level work with search, retrieval, or GenAI pipelines.
  3. A short note on why you want to design algorithms at our company.

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