We are building an AI system that creates data connectors by itself and keeps them working by itself.
No engineer should need to manually build every connector. No engineer should need to come back six months later because the source API changed.
Work that traditionally takes weeks or months should take hours. But building a connector is not the hardest part.
The real question is: Would you trust this system to run by itself, with nobody watching, for months?
That is the job.
The Problem
Every data company has the same problem. There is always another source a customer wants that you do not support.
Today, supporting that source means an engineer has to understand the API, implement authentication, pagination, schema handling and incremental syncs, test the connector, deploy it and maintain it indefinitely.
We want an agent to do most of this autonomously.
It needs to understand API documentation, generate connector logic, validate the data and deploy the connector.
Rate limits change. Fields disappear. New failure modes appear in production.
The system needs to detect those changes, understand what happened, decide whether it can safely repair the connector, validate the fix and know when to ask a human for help.
“The AI built it” is not positive enough. The connector has to be correct.
If a connector silently produces bad data, a customer dashboard may be wrong and someone may make a bad decision based on it.
Your job is to make autonomous connectors trustworthy.
Your Role
- You will lead a team of 4 to 6 engineers while continuing to be deeply technical.
- Roughly 60 percent of your time will remain hands on. That includes architecture, design, coding, debugging, evaluations, code reviews and production issues.
- This is not a people management role with occasional coding.
- You will own a major part of the Connector Builder Agent, along with parts o
📌 Tech Lead Manager (Bengaluru)
🏢 Hevo Data
📍 Bengaluru
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