Chief AI Researcher

2 semanas atrás

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro R$100.000 - R$250.000
Lead Data Scientist

We're seeking a Lead Data Scientist to spearhead the development of cutting-edge AI solutions that drive research, scientific reasoning, and strategic decision-making.

  • Design and develop LLM-powered applications for tasks such as document analysis, summarization, knowledge extraction, and reasoning.
  • Create and optimize RAG pipelines with custom retrieval logic, vector databases, and hybrid search strategies.
  • Implement and integrate knowledge graphs into AI systems for enhanced explainability and structured reasoning (Graph-RAG).
  • Oversight of the full pipeline from data ingestion and preprocessing to model deployment.
  • Collaborate with engineers and domain experts to define requirements, evaluate outputs, and iterate rapidly.

This role is ideal for someone who thrives at the intersection of machine learning, knowledge representation, and real-world impact.

You will work with large language models (LLMs), retrieval-augmented generation (RAG) systems, and Graph-RAG architectures to create intelligent tools that extract and synthesize insights from complex, unstructured data.

Key Requirements
  • M.Sc. or Ph.D. in Computer Science, or related field.
  • Proven experience with LLMs, including prompt design, fine-tuning, and evaluation.
  • Strong understanding of retrieval-based systems (e.g., FAISS, Weaviate, Elasticsearch, Pinecone).
  • Experience with LangChain, LlamaIndex, HuggingFace Transformers, and PyTorch.
  • Familiarity with knowledge graph design and integration (e.g., Neo4j, RDF, NetworkX).
  • Solid software engineering practices and hands-on coding ability in Python.
  • Experience with cloud-based or on-prem AI deployments, ideally in secure or hybrid environments.
  • Ability to lead projects independently, collaborate cross-functionally, and explain complex technical concepts clearly.

Nice to Have:

  • Familiarity with Graph-RAG, Anthropic's MCP, or agentic system orchestration.
  • Experience working with sensitive, domain-specific data (e.g., healthcare, global development, legal).
  • Contributions to open-source projects, publications, or technical blogs.
  • Knowledge of scientific reasoning, ontologies, or structured metadata in research workflows.

Why Join?

  • Shape the next generation of AI research tools grounded in real-world needs.
  • Join a fast-paced, mission-driven team with opportunities to own high-impact projects.
  • Flexible, remote-friendly environment with strong learning and innovation culture.
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