Architect of Scalable AI Solutions

Há 24 horas

Buenos Aires Espírito Santo Brazil beBeeInnovation Tempo inteiro US$120.000 - US$150.000
Senior AI Engineer - RAG Architect

At our organization, we're seeking a visionary Senior AI Engineer to spearhead the development of a cutting-edge Retrieval-Augmented Generation (RAG) architecture. This pivotal role will oversee the ingestion of large datasets, script libraries, and knowledge reuse systems to drive innovation in autoscripting, onboarding search, and long-term platform development.

This position demands strategic direction, technical leadership, and expertise in LangChain, ChromaDB, Qdrant, or pgvector. The ideal candidate must have a deep understanding of cross-encoder rerankers and proven experience in managing OpenAI API keys or self-hosting large models.

Key Responsibilities:
  • Design and implement ingestion and retrieval layers, selecting loaders, chunking strategies, embeddings, vector stores, cross-encoder rerankers, and LangChain router chains.
  • Establish model and prompt governance, including prompt templates, few-shot libraries, safety filters, and evaluation rubrics.
  • Lead architecture for a UI onboarding tool, deciding on hosting, 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 secure credential management.
  • Provide technical leadership by reviewing code, setting quality standards, and conducting architecture workshops.
Must-Have Qualifications:
  • 6–8 years of experience building data or ML platforms with LLM/RAG systems in production.
  • Deep expertise in LangChain, ChromaDB, Qdrant, or pgvector, and cross-encoder rerankers.
  • Strong proficiency in Python and ability to analyze Java codebases.
  • Proven experience designing CI/CD pipelines with delta builds and artifact promotion.
  • Hands-on experience managing OpenAI API keys or self-hosting large models.
  • Demonstrated expertise in security and compliance, including PII protection and secret rotation.
Requirements:
  • Experience deploying LLM/RAG systems in production.
  • Knowledge of LangChain, ChromaDB, Qdrant, or pgvector.
  • Ability to analyze Java codebases.
  • Experience designing CI/CD pipelines.
  • Experience managing OpenAI API keys.

Experts add insights directly into articles, started with the help of AI. This role requires innovation to deliver a scalable and secure platform.

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