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Chief RAG Innovation Officer

3 semanas atrás

Buenos Aires Espírito Santo Brazil beBeeRetrieval Tempo inteiro R$90.000 - R$120.000

RAG Architect Opportunity

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We're seeking a senior AI engineer to lead the design and implementation of an end-to-end Retrieval-Augmented Generation (RAG) architecture. This role will drive the ingestion of GitHub repositories, Confluence pages, Qtest artifacts, PRDs, and script libraries to power autoscripting, onboarding search, and long-term knowledge reuse.

">Key Responsibilities">
  • ">
  • Architect ingestion and retrieval layers, selecting loaders, chunking strategies (AST-aware for Java), embeddings (e.g., BGE-Code, mxbai), vector stores (e.g., Chroma), cross-encoder rerankers, and LangChain router chains.">
  • Design CI orchestrations, including daily Jenkins jobs for delta detection, image captioning (e.g., Qwen2-VL, LLaVA), cost/latency guardrails, and rollback strategies.">
  • Establish model and prompt governance, including prompt templates, few-shot libraries, safety filters, and evaluation rubrics (faithfulness, coverage, compile success).">
  • Lead architecture for a UI onboarding tool, deciding on hosting (FastAPI + React or Streamlit MVP), SSO/auth flows, token streaming, and feedback mechanisms for continuous learning.">
  • Oversee data security and compliance, embedding privacy policies, source citations, audit logs, and ensuring Confluence/Qtest credentials are managed in Secrets Manager.">
  • Provide technical leadership by reviewing PRs, setting code quality standards, and conducting architecture workshops for AI and Automation Agent Engineers.">
">Must-Have Qualifications">
  • ">
  • 6–8 years of experience building data or ML platforms, with at least 2 years deploying LLM/RAG systems in production.">
  • Deep expertise in LangChain, ChromaDB, Qdrant, or pgvector, and cross-encoder rerankers.">
  • Strong proficiency in Python (FastAPI or Flask) and ability to analyze Java codebases for chunking boundaries.">
  • Proven experience designing CI/CD pipelines (Jenkins, GitHub Actions) with delta builds and artifact promotion.">
  • Hands-on experience managing OpenAI/Anthropic API keys or self-hosting large models.">
  • Demonstrated expertise in security and compliance, including PII protection, role-based access, and secret rotation.">
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