
10,000+ employees
Founded 1987
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
🔥 36 minutes ago
🗣️🇪🇸 Spanish Required
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10,000+ employees
Founded 1987
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Stefanini LATAM is a technology solutions provider with over 30 years of experience in digital transformation. The company focuses on integrating innovative technological solutions for businesses to enhance their operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Stefanini collaborates with clients to identify opportunities for optimization and growth, ensuring that businesses can adapt to the evolving digital landscape effectively.
• Diseñar e implementar agentes de IA utilizando LLMs, embeddings y vector stores. • Integrar herramientas y plataformas mediante APIs, Webhooks y otros conectores. • Desarrollar soluciones escalables con foco en performance y mantenibilidad. • Colaborar en la definición de arquitecturas modernas (microservicios, contenedores, etc.). • Participar en proyectos de integración con Azure y otras plataformas cloud.
• Más de 3 años de experiencia desarrollando e implementando agentes de IA. • Conocimientos sólidos en LLMs, embeddings, vector stores, prompt engineering e integración de herramientas. • Experiencia con plataformas como Azure Foundry, Azure AI Search y N8N. • Sólida base en arquitectura de software e integración de sistemas mediante APIs y Webhooks. • Experiencia creando modelos de Machine Learning (deseable). • Conocimientos en DevOps y Kubernetes (deseable). • Experiencia en entornos de microservicios y contenedores (deseable).
• Pago en USD (modalidad contractor) • Modalidad 100% remoto
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