solutions Build and implement Agentforce AI agents, prompts, grounding (RAG), and custom agent actions Design and deliver...
, 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...
Experiencia con RAG (Retrieval Augmented Generation). Conocimiento en LLMs y sistemas de agentes (Agentic AI). Experiencia.... Implementar modelos de ML y LLMs, incluyendo arquitecturas de RAG, agentes inteligentes y sistemas de orquestación. Desarrollar...
-on experience with at least one vector database (Azure AI Search, Pinecone, Qdrant, or PGVector) Understanding of RAG (Retrieval...
NLU modeling, and omnichannel integrations. Integrate GenAI capabilities into production deployments: RAG pipelines... experience integrating GenAI/LLM capabilities into production systems: RAG, embeddings, prompt engineering, LLM APIs (OpenAI...
(NLP): clasificación, análisis de sentimiento, extracción de información. Implementar sistemas basados en arquitectura RAG...
, etc. Realizar reportes y dar seguimiento de apoyo Grua, seguridad, etc. Según protocolo Conocimientos indispensables Rag alertes...
based solutions for a production environment. Experience with Generative AI and LLMs — prompt engineering, RAG...
platform, ensuring it is scalable, efficient, and ready to enable advanced AI workloads (GenAI/RAG). In your future role... the platform for Artificial Intelligence, providing high-quality, AI-ready data for ML, RAG, and AI agents, integrating...
platform, ensuring it is scalable, efficient, and ready to enable advanced AI workloads (GenAI/RAG). In your future role... the platform for Artificial Intelligence, providing high-quality, AI-ready data for ML, RAG, and AI agents, integrating...