[Hiring] Software Engineer, AI Integrations @Zyte

Role Description

We’re hiring an Integrations Engineer to help build this program from the start. You’ll build and publish integrations, including MCP-based setups, a Zyte 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.

• Build and publish integrations that bring Zyte into coding-agent environments (Claude Code, Codex, Cursor, Docker), building on the existing Zyte MCP server.
• Design, build and release the Zyte 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 Zyte 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 docs.zyte.com 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 Zyte API and Scrapy Cloud surfaces that integrations rely on stable.
• Take part in code reviews, planning and squad routines.

Qualifications

• 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

• 35 days paid holidays
• 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.