Engenheiro de IA Generativa Sênior

Added
16 days ago
Type
Full time
Salary
Salary not provided

Related skills

python google cloud fastapi rag langchain

📋 Description

  • Lead the technical discovery of AI initiatives, translating business and audit requirements into
  • Design and implement advanced Generative AI systems using multi-agent architectures, coordination
  • Establish and apply MLOps and GenAIOps practices covering model monitoring, experiment versioning
  • Design, build, test, and maintain data processing pipelines capable of handling large-scale
  • Develop and optimize real-time statistical and analytical indicators, applying Machine Learning
  • Build real-time monitoring dashboards using Grafana or equivalent observability tools to help teams

🎯 Requirements

  • Solid professional experience as a Data Scientist, Machine Learning Engineer, Senior AI Engineer
  • Advanced Python expertise, with a strong focus on AI software engineering, application development
  • Hands-on experience developing LLM-powered applications with frameworks such as LangChain
  • Deep knowledge of Retrieval-Augmented Generation (RAG), vector databases, and advanced prompt
  • Strong knowledge of the Google Cloud ecosystem, particularly Kubernetes/GKE, Vertex AI, Agent
  • Experience with agent persistence and memory solutions, including document-oriented databases such

🎁 Benefits

  • Opportunity to work with advanced Generative AI, Machine Learning, multi-agent architectures, and
  • Exposure to enterprise-scale AI initiatives with direct impact on risk monitoring, analytics
  • Opportunity to work with modern technologies including Google Cloud, Vertex AI, Kubernetes
  • Highly collaborative, agile, digital, and technology-driven working environment.
  • Opportunity to experiment with emerging AI technologies and contribute to innovative solutions at
  • Inclusive environment that values diversity, innovation, collaboration, and continuous professional
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