Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на стыке поддержки в кибербезопасности и качества production AI, но без указанной зарплаты и визовой поддержки сложнее оценить условия и доступность вакансии.
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Зарплата не указанаБез визовой поддержкиПонятные задачиИИ в кибербезопасностиРабота в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Support Engineer (AgentiX Support - Cortex) (AI): Developing and operating a Generative AI support system with an accent on prompt engineering, model quality validation, and compliant knowledge governance. Focus on analyzing model failures, improving support instructions, and translating AI performance gaps into R&D requirements.
Location: Tel Aviv-Yafo, Israel; office-based
Company
hirify.global develops cybersecurity products and uses AI to improve digital security and support operations.
What you will do
Develop in-product support instructions based on incoming customer cases.
Validate production Generative AI models using evaluation platforms and quality methodologies.
Monitor and rank AI answers for accuracy, reliability, and performance.
Drive continuous training through systematic prompt engineering, refinement, and versioning.
Govern AI knowledge-base content and verify that compliant information is ingested.
Partner with R&D and Support Enablement to translate quality issues into model improvements and new features.
Requirements
7+ years of hands-on technical support, escalation, or enablement experience with cybersecurity or cloud security products.
Experience writing technical support knowledge-base articles, troubleshooting playbooks, and troubleshooting guides.
Experience mentoring support engineers.
Ability to analyze support data and provide actionable insights.
Strong technical communication skills for translating model performance issues and agentic action requirements into prioritized R&D requirements.
Work from the Tel Aviv-Yafo, Israel office; visa sponsorship is not available.
Nice to have
Prompt engineering experience, including authoring, testing, and refining instructional inputs.
Experience with GCP, Kubernetes, containers, and cloud cybersecurity technologies.
Understanding of AI tools, large language models, machine learning, and applied AI principles.
Ownership of projects through successful completion.
Culture & Benefits
Collaborative, in-person work model with flexibility when needed.
Work alongside R&D and support enablement teams on mission-critical cybersecurity applications.
Commitment to diversity, inclusion, and reasonable accommodations.
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