Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
€60к-96к/год
€63к€80кмедиана€110к
По похожим ролям (37) ~ €80к/год
Прикинули из €5к-8к/мес × 12
На СНГ рынке: $4.3к/мес ($3.5к - $5.5к)
90
Крутая вакансия
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Чёткая ответственность за AI- и data-платформу в крупной продуктовой компании даёт сильный технический масштаб и востребованный опыт; явных серьёзных минусов в описании нет.
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Работа с AIАктуальный стекПонятная зона ответственностиКрупный продукт
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Full Stack Engineer - Data Services (AI) (Python/Scala/Java/TypeScript): Building the company-wide Org Brain, context store, and data catalogs that support engineers and AI agents, with an accent on full-stack data systems, production AI integrations, and agentic search. Focus on designing end-to-end services, integrating agentic workflows and MCP-based tools, and scaling data ingestion, modeling, querying, and serving.
Location: Vilnius, Lithuania
Salary: €5,000–€8,000 gross per month, total compensation including RSUs package
Company
Wix develops web creation and business products used by more than 299 million users worldwide, with around 4,400 employees across 22 countries.
What you will do
Build agentic and deterministic solutions for internal data- and AI-driven use cases.
Develop full-stack, data-oriented systems and pipelines using Python, Scala, Java, and TypeScript.
Own the context store and data catalog end to end, from data modeling to interfaces used by engineers and AI agents.
Collaborate with squads and Data Infrastructure teams on architecture, data contracts, and shared tooling.
Requirements
At least 5 years of experience as a Full Stack Engineer.
Experience designing, building, and owning end-to-end production-grade services and web applications using modern web frameworks such as React, Angular, Vue, or Next.
Hands-on experience integrating AI and LLM capabilities into production systems, including agentic workflows, tool-calling, or MCP-based integrations.
Experience collaborating with product managers, UX specialists, and stakeholders.
Strong communication skills in English.
Nice to have
Experience with big data and/or data-oriented products.
Experience building advanced RAG or agentic search and/or building MCP servers as a product.
Culture & Benefits
Collaborative, high-performing environment focused on ownership, accountability, curiosity, and solving problems beyond the usual area of expertise.
Discount stock purchasing plans and health and personal accident insurance.
Daily lunch and snacks at the office, commuting allowance, and discounted phone services with compensation for a new phone.
Free exercise classes, wellness activities, online courses, professional development, team events, and other activities.
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