BI Engineer

 

AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.

 

zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.

 

zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.

Many of our customers already run on Power BI and Microsoft Fabric, and they want to query zaimler's context layer directly from the tools their teams already use. We're looking for a BI Engineer to build that bridge: connecting zaimler's query engine to Power BI so customers can serve metrics, dashboards, and natural-language queries directly on top of it.

You'll be exposing zaimler's query layer (including graph queries) in a form that Power BI and similar BI tools can consume, and building the plumbing that lets non-technical business users query zaimler through natural language and familiar BI interfaces.

As the first dedicated BI hire in Bangalore, you'll work closely with zaimler's core query engineering team and directly with customers to shape how this integration works. There isn't an established BI team here yet, so you'll have real latitude to define it, while staying closely connected to engineering counterparts rather than working in isolation.