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В Company hidden описана понятная senior-роль с практической работой над AI-системами и ответственностью за весь цикл разработки, но широкий охват full-stack и data потребует универсальности.
?Широкая зона ответственности
Современные технологии
Крупный продукт
Развитие в AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Fullstack Engineer (AI): Building and owning the context store, data catalogs, and data quality infrastructure that support engineers and AI agents, with an accent on full-stack production services, data ingestion, and agentic search. Focus on integrating AI/LLM capabilities, designing agentic workflows and tool-calling systems, and serving trustworthy data at scale.
Location: Tel Aviv, Israel
Company
hirify.global builds web creation and business products used by over 299 million users and their visitors worldwide, with approximately 4,400 employees across 22 countries.
What you will do
Own the platforms powering the context store and data catalogs end to end, from data ingestion through agentic search and serving.
Build and maintain production-grade full-stack services and web applications.
Develop data quality infrastructure serving engineers, creators, and AI agents.
Integrate evolving AI capabilities into the platform and collaborate with product managers, UX specialists, and stakeholders.
Requirements
At least 5 years of experience as a highly motivated Full Stack Engineer.
Strong proficiency in at least one backend language: Go, Java/Scala, Node.js, or a similar language.
Expertise 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/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.
Culture & Benefits
Work in the Data Services squad within hirify.global's Big Data and Analytics Platform group.
Own frontend, backend, and data responsibilities while continuously deepening AI fluency.
Value ownership, accountability, curiosity, and willingness to tackle problems outside one's comfort zone.
Collaborate in high-performing teams focused on innovation and AI-powered products.
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