Software Engineer, AI Integrations - Remote

About Us

At the company, we eat data for breakfast and you can eat your breakfast anywhere and work for the company. Founded in 2010, we are a globally distributed team of over 250 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, the company 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.

The Integration Squad helps developers and data teams find, adopt and keep using the company for web data. We focus on coding agents and agent-based workflows. We make the company API and Scrapy Cloud easy to reach from the tools people already use: coding agents like Claude Code, Codex and Cursor; frameworks like LangChain and LlamaIndex; cloud platforms like AWS and Google Cloud; and later, automation and app-building tools. We measure success by how many customers use the company through these integrations, not by how many integrations we publish.

We’re hiring an Integrations Engineer to help build this program from the start. You’ll build and publish integrations, including MCP-based setups, the company command-line tool (CLI), framework packages and data-delivery connectors. You’ll also write the documentation that lets developers and their agents use them without help, and the tracking that shows whether they work.

We employ agile methodologies and work in cross-functional pods, which lets us respond quickly to both community feedback and internal product needs.

Roles & Responsibilities

• Build and publish integrations that bring the company into coding-agent environments (Claude Code, Codex, Cursor, Docker), building on the existing the company MCP server.

• Design, build and release the company CLI as a shared base for integrations, published to both PyPI and npm.

• Build and maintain packages and tools for developer frameworks and agent SDKs (e.g. LangChain, LlamaIndex) and for browser automation tools.

• Build recurring data delivery into customers’ cloud and data platforms (e.g. AWS, Google Cloud Storage and BigQuery, Snowflake), reusing existing export routes where possible.

• Assess app and automation platforms (e.g. Dify, Flowise, Make, Zapier, Lovable, Replit). Prototype integrations or templates where they’ll lead to repeat the company use.

• Give early engineering estimates of feasibility, effort, dependencies and upkeep for each candidate integration, to help decide what we build next.

• Add tracking so signups and usage can be traced back to each integration, and report gaps where tracking isn’t possible.

• Write clear setup guides, examples and docs that work for both people and coding agents, on the company and in public repositories.

• Prepare and manage submissions to partner directories, registries and marketplaces, including responding to partner review feedback.

• Maintain live integrations: keep up with changes in partner tools, fix issues, and handle releases and versioning.

• Work with Product, Product Marketing and Developer Relations on launches, positioning and community support.

• Work with the SaaS and Platform teams to keep the company API and Scrapy Cloud surfaces that integrations rely on stable.

• Take part in code reviews, planning and squad routines.

Requirements

• Strong Python skills and solid TypeScript/Node.js. You’ll publish packages in both ecosystems.

• Experience building SDKs, client libraries, CLIs, plugins or third-party integrations used by outside developers.

• Hands-on use of coding agents and AI tooling (e.g. Claude Code, Cursor, Codex), and familiarity with the Model Context Protocol (MCP) or similar tool-calling interfaces.

• Experience publishing and maintaining packages (PyPI, npm), including versioning, CI/CD, tests and releases.

• Good working knowledge of REST APIs and authentication, including keeping credentials secure in client and server setups.

• An outcome-focused mindset: you care whether developers adopt and keep using what you ship, and you use data to decide what to improve.

• Clear writing in English. Documentation and examples are a core part of the job.

• Comfortable with ambiguity and early-stage scoping in a new squad.

• Experience in a distributed, remote-first team is a strong plus.

• Experience with LangChain, LlamaIndex or agent SDKs is a plus.

• Experience with AWS or GCP data services (S3, Cloud Storage, BigQuery) or Snowflake is a plus.

• Familiarity with web scraping, Scrapy or browser automation (Playwright, Selenium) is a plus, but not required.

• Open-source maintenance or Developer Relations experience is a plus.

Benefits

As a new Zytan, you will

Become part of a self-motivated, progressive, multi-cultural team.

Have the freedom and flexibility to work from where you do your best work.

Work with cutting-edge open source technologies and tools.

35 days paid holidays