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Apify Technologies s.r.o.

Web scraping and automation platform

Senior AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timePrague, Czechia

About the Job

Requirements

  • Have at least 5 years of experience building software.
  • Have backend experience with Node.js/TypeScript or Python.
  • Have firsthand experience building on top of large language models.
  • Communicate in English.
  • Be comfortable working on loosely defined problems and keeping up with a rapidly changing field.

Responsibilities

  • Build and maintain the Apify MCP Server, turning tens of thousands of Actors into tools that agents can reliably call.
  • Keep the server current with changes to the protocol, including stateless transports, authorization hardening, and tool discovery.
  • Shape the agent behind Apify AI, including its runtime, the tools it reaches, and issues that arise when it completes tasks end to end.
  • Help autonomous agents discover and pay for Apify tools.
  • Build evaluations that turn production traces into tests, catch regressions in continuous integration, and assess whether changes improve the product.

Desired Qualifications

  • Use the Apify platform or be interested in using it.
  • Work with the listed stack, including React.js, styled-components, Storybook, Chromatic, Cypress, Playwright, TypeScript/Node.js, Nest.js, Next.js, Docusaurus, Vitest, AWS, Kubernetes, Helm, Terraform, CloudFormation, MongoDB, Redis, DynamoDB, S3, GitHub Actions, Grafana, Prometheus, OpenTelemetry, Mezmo, Sentry, PagerDuty, GitHub, Notion, Google Workspace, and Slack.

About the Company

Apify Technologies s.r.o.

Web scraping and automation platform

Apify provides a platform for web scraping and automation with a library of over 1,400 ready-made scrapers and the option to build custom scrapers in Node.js or Python. It runs scraping jobs in a cloud-based, serverless environment and uses a large pool of datacenter and residential proxies to avoid blocks, with data stored in the cloud and options for integrations. The platform also offers managed and custom scraping and RPA services to fit client needs, all in one platform. Its goal is to help businesses collect data and automate web interactions reliably at scale, while reducing the technical burden of building and maintaining scraping pipelines.

Company size
201-500
Company stage
Early VC
Total funding
$4.5M
Headquarters
Prague, Czechia
Founded
2016

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