KPaz is a technology and consulting firm built around Azure AI, machine learning, and cloud infrastructure—with heavy investments in LangChain, OpenAI integration, and data pipeline automation. The company is scaling aggressively (33 roles posted in 30 days, accelerating), with engineering dominating the hiring mix and a notable focus on cost optimization and token consumption management, suggesting clients are moving fast with GenAI but hitting real operational friction around spend and adoption.
Notable leadership hires: Technical Lead
KPaz is a digital transformation and AI consulting firm founded in 2013, serving enterprise and public-sector organizations across Latin America. Based in Santiago with offices in Lima and Bogotá, the company specializes in cloud migration, intelligent systems development, and organizational change around digital innovation. The core stack centers on Azure ecosystem (AI Foundry, OpenAI, Cognitive Services, Synapse) paired with Python machine-learning frameworks (TensorFlow, PyTorch) and microservices infrastructure. Client work spans data integration pipelines, AI component implementation, security architecture, and cost optimization—reflecting a mix of greenfield AI deployment and legacy system modernization.
Azure AI Foundry, Azure OpenAI, Python, TensorFlow, PyTorch, LangChain, Semantic Kernel, Kubernetes, Synapse, Azure Data Factory, and .NET/C#. Also uses Dynamics 365, Power Automate, and REST APIs for enterprise integration.
Santiago (headquarters), Lima, and Bogotá. Actively hiring across Chile, Peru, and Colombia.
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