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Fullstack Engineer, Store

Bangun dan perbaiki fitur pencarian di Apify Store

Anda akan membangun dan meningkatkan fitur pencarian di Apify Store, bekerja di seluruh stack untuk membuat pengguna dan agen AI menemukan alat yang tepat. Anda akan mengembangkan antarmuka pengguna dengan React/TypeScript dan backend dengan Node.js, serta mengintegrasikan sistem rekomendasi dan mengeksekusi eksperimen A/B untuk meningkatkan aktivasi dan retensi pengguna.

Kenapa Menarik?

Dapatkan pengalaman mengembangkan pencarian dan rekomendasi di toko yang memiliki lebih dari 1000 Actor.

Tanggung Jawab Utama

  • Bangun dan perbaiki fitur pencarian di Apify Store untuk meningkatkan relevansi dan ranking hasil pencarian.
  • Integrasikan dan eksperimen dengan sistem rekomendasi untuk menampilkan Actor yang paling relevan untuk setiap pengguna dan kasus penggunaan
  • Mengembangkan antarmuka pengguna di Apify Store dengan React/TypeScript, termasuk halaman hasil pencarian dan kategori.
  • Bangun backend untuk layanan pencarian, termasuk scoring dan pipeline evaluasi kualitas.
  • Jalankan eksperimen A/B untuk mengukur dampak perubahan pencarian pada aktivasi dan retensi pengguna.
  • Kerjasama dengan tim produk, desain, dan data untuk meningkatkan pengalaman pengguna dalam menemukan alat yang tepat.

Persyaratan

  • Punya pengalaman 3+ tahun dalam membangun aplikasi web fullstack dan memiliki catatan pengiriman fitur pengguna.
  • Mampu mengembangkan dan men-debug aplikasi single-page modern dengan TypeScript/React dan Node.js.
  • Siap untuk bertanggung jawab atas fitur pengguna dan siap naik pangkat menjadi senior engineer.

Skills Wajib

reacttypescriptnode.jsfullstackweb-development

Konteks Indonesia

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Lihat Deskripsi Asli dari Ashby Job Boards

Deskripsi asli dari Ashby Job Boards

Apify is the largest marketplace of tools for AI. Thousands of Actors helping people and agents get real-time web data, track competitors, generate leads, or integrate their apps. Actors are built by a global creator community that now earns more than $1.5 million every month. Join us to help people put the web to work. Apify can find missing children https://blog.apify.com/fighting-child-traffickers-with-technology/, protect consumers from fake discounts across the EU https://blog.apify.com/how-web-scraping-ai-and-the-eu-have-come-together-to-sweep-away-fake-discounts-in-europe/, and feed data to AI chatbots https://blog.apify.com/intercom-customer-support-ai-chatbot-web-scraping/. 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: - Infra: AWS Compute (Kubernetes (EKS), EC2, Lambda), Helm, Terraform, CloudFormation, ArgoCD, MongoDB, Redis, DynamoDB, S3, GitHub Actions - Monitoring: Grafana, Prometheus, OpenTelemetry, Mezmo, Sentry, PagerDuty - Frontend: React.js, styled-components, Storybook, Chromatic, Playwright - Backend: TypeScript/Node.js, Nest.js, Next.js, Docusaurus, Vitest - Tools: GitHub, Notion, Google Workspace, Slack - OS, code editor, and AI assistant of your choice (Claude premium with unlimited tokens, GitHub Copilot, Cursor, Gemini, or JetBrains AI) - Process: kanban, code reviews, tests, automating whatever we can, and deploying multiple times per day. Team-specific tools: Recombee, MongoDB Atlas, GrowthBook 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 Multisport card 🏋️‍♀️ - 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 🐘 For more details about Apify and what it's like to work with us, see our Careers page https://apify.com/jobs.

Konteks Gaji

Posisi Engineering serupa di LokerDollar dibayar sekitar $170k/yr (kisaran $855–1000k/yr, dari 766 listing aktif).

Perekrutan di Apify

Apify punya 6 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 2 Jul 2026 — di kategori Engineering, Marketing.

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Perusahaan
Apify
Tipe Lowongan
full time
Lokasi
Prague, Czech Republic · Remote
Kategori
Level
mid
DipostingNewBaru & terverifikasi
3 Sep 2026

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