con plataformas empresariales, múltiples modelos de lenguaje (LLMs) y estrategias de RAG (Retrieval-Augmented Generation.... Desarrollar e implementar RAG personalizados (Custom RAG): Diseño de estrategias de recuperación de conocimiento...
y disponibilidad de la información para modelos de Machine Learning, LLMs y soluciones tipo RAG. Tus funciones incluyen: Desarrollar..., archivos, data lakes). Limpieza, normalización y transformación de datos. Preparación de datos para modelos de IA, RAG...
data warehouses and NoSQL databases. Exposure to LLM APIs (Anthropic, OpenAI) or Retrieval-Augmented Generation (RAG...
best practices in development and deployment Desired Experience and Skills Experience with LLM-based solutions such as RAG...
learning frameworks like TensorFlow or PyTorch. Experience with RAG (Retrieve, Analyze, Generate) models...
-Augmented Generation (RAG) pipelines, including document retrieval, embedding strategies, and LLM integration for knowledge...
best practices in development and deployment Desired Experience and Skills Experience with LLM-based solutions such as RAG...
: structured outputs, retrieval-augmented generation (RAG), or AI agent workflows....
, Agentic AI frameworks, and RAG architectures Automate provisioning, monitoring, troubleshooting, compliance validation... to Have Experience with GenAI and Agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen, MCP) Exposure to LLMs, RAG architectures...
, observable, and business-oriented AI solutions leveraging LLMs, RAG pipelines, AI agents, and modern cloud-native architectures... and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents for enterprise use cases. Integrate and orchestrate LLM...