Apify is a marketplace of ready-to-run tools for AI that automate work on the web. Thousands of Actors get web data, generate leads, monitor social media, track competitors, and integrate with existing apps and agents. Actors are created by a global community of builders who earn from them, while Apify manages infrastructure, billing, and distribution. Learn more at
apify.com
.
Join us to help people put the web to work. Apify can
find missing children
, protect consumers from
fake discounts across the EU
, and
feed data to AI chatbots
.
Apify is looking for a
Fullstack Engineer
to join the Discovery team. Discovery owns how people and AI agents find the right tool on Apify Store: search, recommendations, and the way Actors are categorized and presented. You'll work across the stack, building the Store surfaces users see and the scoring, ranking, and quality pipelines behind them, so that every user and agent lands on the Actor they need. It's one of the highest-leverage problems at Apify: when discovery works, activation, onboarding, and retention follow.
What you'll be working on:
Build and improve
Store search
: the relevance, ranking, and query understanding that gets users and AI agents to the right Actor fast.
Integrate and experiment with
recommender systems
that surface the most relevant Actors for each user, context, and use case.
Develop the
Store surfaces
in React/TypeScript: search results, category and listing pages, and the end-to-end "find the right Actor" experience.
Build the
backend behind discovery
: scoring services, quality-evaluation pipelines, and the data processes that keep Store categorization accurate as the catalog grows.
Run
A/B experiments
to measure how discovery changes move activation and retention, and let the results decide what ships.
Work with product, design, and data to turn "help users and agents find the right tool" into concrete, measurable improvements.
Who we're looking for:
Must-haves:
3+ years of professional experience building fullstack web applications, with a track record of shipping and owning user-facing features. We're aiming for a senior hire, but we'll happily talk to strong mid-level engineers ready to step up.
Strong skills developing and debugging modern single-page applications in TypeScript/React, with Node.js-based backends.
Comfort owning a problem end-to-end across the stack, from the UI a user touches to the services, scoring, and data behind it.
An experiment-driven mindset: you use A/B tests and metrics to decide what actually works.
Good communication skills in English, and a collaborative approach with product, design, and data.
Nice-to-haves:
Experience with search, ranking, or recommender systems.
Experience with AI/LLM-powered features, evals, or building for AI agents as end users.
A strong eye for UI and UX: you care how Apify Store feels to use, not just that it works.
Our tech stack:
Frontend: React.js, styled-components, Storybook, Chromatic, Cypress, Playwright
Backend: TypeScript/Node.js, Nest.js, Next.js, Docusaurus, Vitest
Infra: AWS Compute (Kubernetes (EKS), EC2, Lambda), Helm, Terraform, CloudFormation, MongoDB, Redis, DynamoDB, S3, GitHub Actions
Monitoring: Grafana, Prometheus, OpenTelemetry, Mezmo, Sentry, PagerDuty
Tools: GitHub, Notion, Google Workspace, Slack
OS, code editor, and AI assistant of your choice (Claude premium with unlimited tokens, GH Copilot, Cursor, Gemini, or JetBrains AI)
Process: two-week sprints, code reviews, tests, automating whatever we can, and deploying multiple times per day.
Team-specific tools:
Recombee, MongoDB Atlas, GrowthBook
What we expect from you in the first 6 months:
By the end of the first 3 months, we expect you to:
Ship multiple user-facing improvements to Store or other discovery surfaces, live in production.
Understand the discovery stack end-to-end: Store frontend, the scoring and ranking services, and the data pipelines behind them.
Take a feature or experiment from idea through A/B test to a ship or no-ship decision.
Build effective working relationships with product and design, and start to explore the biggest opportunities to improve how users find Actors.
By the end of the first 6 months, we expect you to:
Own a meaningful part of the discovery experience: a search component, a recommender, or a quality and scoring pipeline.
Ship changes that measurably improve a discovery metric (search success, activation, or retention), proven with experiments.
Improve how Actors are categorized and ranked so both users and AI agents find the right tool more reliably.
Contribute to LLM-based discovery features and AI-driven automations, such as AI chat search or the evals behind the ranking and quality pipelines.
Contribute to the team's technical direction, raising the bar on code quality and velocity.
Why should you work at Apify?
Space, support, and autonomy for personal growth, with a direct impact on our success
Full-time position in Prague at our amazing office located in 100Yards 🏰
Option to work remotely 🛋️
Flexible working hours 🕰️
Nobody counts holidays as long as the work gets done 💪
Unlimited Claude for every Apifier. We don't count tokens. Just use them well 🤖
Stock options and profit sharing 💰
Free Apify credits for your friends and family to try the platform 🎁
Free Multisport card 🏋️♀️
Regular massages in the office, mostly covered by Apify 💆
We welcome pets, kids, and bikes at the office 🐶
Epic team buildings and offsites 🚢 with biking, canoeing, and other adventures 🪂
Solid education and training budget, conference tickets, internal “Eat & Learn” sessions, and the possibility to work across teams
Generous hardware budget 💻
Free lunches every day when working from the office 🌮🥡
Unlimited supply of ☕ & 🍺 and snacks
Free entry to the wonderful Prague Zoo 🐘
Ping-pong, chess, PS5, foosball league after lunch 🏓
For more details about Apify and what it's like to work with us, see our
Careers page
.