AI Tooling Engineer - Remote

Zyte; Bengaluru; Remote; INR 2,400,000 - 4,200,000; Full time

Benefits offered by this job

Remote work flexibility

Job summary

Zyte is building an internal AI tooling platform and we are seeking an experienced software engineer to join the Tooling team. You will own features end-to-end—from design and implementation to deployment and measurement—writing production Python and integrating with LLM APIs.

You will collaborate with internal users, connect SaaS APIs, SQL data sources, and cloud services, and help shape the direction of our AI tooling across the company while ensuring security and proper access controls.

Qualifications

• 3+ years building and shipping production software, Python preferred.
• Built/shiped with LangGraph agent including tool calling, retrieval & embeddings.
• Experience with LLM APIs from major providers; cost/token optimization.
• Experience with MCP or similar tool protocols; server and client.
• Evaluation with test sets and observability tooling (Langfuse).
• Integrates APIs and data: SaaS APIs, SQL, data warehouses.
• Cloud infrastructure experience (GCP and/or AWS): containers, IAM, CI/CD.
• Security/permissions: least privilege; access controls.
• Fluent in Git workflows and collaboration.
• Excellent written and spoken English.

Responsibilities

• Build the platform with the Principal Engineer in Tooling: new capabilities weekly.
• Connect internal systems and SaaS tools to the platform: APIs and data flows.
• Build agents and MCP servers and the contextual data they rely on.
• Own quality metrics: evaluation sets, tracing, cost per answer.
• Turn proofs of concept into production tools in the cloud with proper security.
• Work with AI coding agents as the main workflow with specs and tests.
• Contribute to company-wide AI tooling initiatives and standards.
• Engage with users across the company to learn what to build next.

Skills

Python

LangGraph

LLM APIs

MCP Protocol

Langfuse

API Integration

Cloud (GCP/AWS)

Git

Security & IAM

English communication

Tools

Django

PostgreSQL

pgvector

React

Next.js

Docker

AWS/GCP

Job description

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 answer, and fixing what users run into.
• Turn proofs of concept into internal tools that run in production in the cloud, with security and access done properly.
• Build with AI coding agents as the main way of working, with the specs, tests and reviews that keep the code sound.
• Contribute to company-wide AI tooling initiatives: evaluating and standardising internal AI tools, cost and usage tracking, and agreed standards for AI-built internal apps; help other teams build on the platform.
• Talk with the people who use the platform, across the company, to learn what to build next, and explain what was built to technical and non-technical audiences.

• 3+ years building and shipping production software, mostly in Python, with relational databases.
• Has built and shipped with LangGraph at least one agent that real people use: tool calling, retrieval and embeddings, prompt and context design.
• Hands-on experience with LLM APIs from the main providers, cost and token optimisation.
• Hands-on with MCP or similar tool protocols, as a server and as a client.
• Evaluates AI systems properly: test sets, LLM-as-judge, regressions when a prompt or a model changes; tracing and observability with Langfuse or similar.
• Integrates APIs and data: SaaS APIs, SQL, data warehouses.
• Experience with cloud infrastructure (Google Cloud and/or AWS): containers, managed databases, identity and access, CI/CD.
• Uses AI coding agents every day and knows how to keep their output in check.
• A sense for security and permissions: identity, least privilege, people see only what they are allowed to see.
• Comfortable with version control (GitHub/Bitbucket).
• Excellent written and spoken English, technical and non-technical.

Desired Skills:

• Familiarity with web data or web scraping.
• Django and Postgres, including vector search with pgvector.
• Enough frontend to build and change a chat interface (React, Next.js).
• Has built internal tools that colleagues adopted.
• Semantic layers or knowledge graphs.
• Memory for agents, multi-agent setups.
• Previous remote/distributed team experience.

By joining the Zyte team, you will:

• Become part of a self-motivated, progressive, multi-cultural team.
• Freedom and flexibility to work remotely.
• Work with cutting-edge, open-source technologies and tools — and shape the AI tooling the rest of the company relies on.