AI Tooling Engineer - Remote
Company: Zyte
Location: Bengaluru (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-20
About this role
About Us
At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 225 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.
For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.
This role sits in Zyte's Tooling team, working side by side with our Principal Engineer in Tooling on an internal agentic platform: one place that brings together what the company knows, today spread across many systems, so that people and their AI agents get that context in one place, each seeing only what they are allowed to see.
We are looking for a builder: someone who has built AI agents and shipped them to real users, and who likes owning a product end to end, from talking with the people who use it to the code, the deployment and the numbers that say whether it works. The first version is already in use inside the company and grows every week.
Roles & Responsibilities:
- Build the platform with the Principal Engineer in Tooling: new capabilities every week, from design to production.
- Connect new internal systems and SaaS tools to the platform: their APIs and data, how they fit a shared model, and who may see what.
- Build agents and the tools they use, including MCP servers that agents across the company can call, and the context they need to answer well.
- Own quality: evaluation sets and benchmarks, tracing, cost per a...