Operational software for utilities companies, now adopting AI agents
Kaffa Tech builds software for utilities to streamline operations and regulatory compliance. The tech stack reveals a shift toward AI-native development: they're actively adopting LangChain, CrewAI, LlamaIndex, and AutoGen alongside Node.js and REST APIs, while maintaining a heavy Java/.NET backend. Engineering-dominated hiring (11 of 12 open roles) focused at mid and senior levels points to infrastructure modernization and process automation—consistent with stated challenges around on-premise performance and scalability.
Kaffa Tech is a 51–200-person software company based in São José dos Campos, Brazil, serving utilities and infrastructure operators since 2005. They develop solutions for operational efficiency and regulatory compliance in a heavily regulated sector. Current product work centers on modernizing legacy systems, automating manual workflows, and deploying new infrastructure and security. The engineering-heavy organization is currently hiring in Brazil with emphasis on mid-career and senior roles.
Core stack includes Java, Kotlin, C#, .NET Framework, Node.js, React, TypeScript, and Angular. Backend data layers use SQL Server and PostgreSQL. They're actively integrating AI frameworks: LangChain, CrewAI, LlamaIndex, and AutoGen. Infrastructure runs on Azure DevOps and AWS.
Two primary initiatives: modernization and automation of operational processes, and implementation of new infrastructure and security solutions. Work is driven by pain points around on-premise environment performance, scalability limits, and process automation gaps in the utilities sector.
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