aibackendfullstackllmragstartupagentic aiidentity and access controlenterprise search
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности, практическая работа с AI в продакшене и заметное влияние на компанию, но без зарплаты сложнее оценить привлекательность всего предложения.
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Зарплата не указанаПонятная зона ответственностиAI уже в работеПередовые AI-технологииПолезная сфераОпытная команда
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (AI platform): Building and operating Voi’s AI platform, backend services, full-stack tools, and next-generation AI infrastructure with an accent on agentic platforms, enterprise search, knowledge bases, and secure access control. Focus on developing production LLM capabilities, scaling internal platforms, integrating identity systems, and delivering reliable tools for non-engineering users.
Location: Hybrid in Stockholm, Sweden
Company
hirify.global develops shared micromobility products and operates electric vehicles across European cities, with headquarters in Stockholm.
What you will do
Own and improve the AI platform, including the in-house app-building platform, Claude stack, and future AI capabilities.
Build robust backend services and full-stack user-facing features that are reliable, scalable, secure, and easy to use.
Develop AI infrastructure including agentic platforms, enterprise search, knowledge bases, knowledge graphs, and open-weight model access.
Strengthen identity, authentication, permissions, access control, security reviews, audits, and integrations with company systems.
Collaborate with AI and platform teams and colleagues across the business to test ideas and ship useful tools.
Evaluate whether capabilities should be built, bought, or integrated while reducing vendor lock-in.
Requirements
Strong experience building and operating robust, scalable internal platforms, ideally AI platforms.
Solid backend engineering experience building applications and services at scale.
Production experience with LLMs, including agents, tool use, MCP, RAG, search, or evaluation.
Full-stack ability and good UX judgment when building tools for non-engineers.
Understanding of identity, authentication, and access control, or a strong interest in developing in this area.
Autonomy, ownership, practical implementation skills, and clear communication with technical and non-technical stakeholders.
Nice to have
Experience working with AI platforms and open-ended technical problem spaces.
Culture & Benefits
Small, senior team with high trust, fast decisions, and a clear mandate.
Employee options programme.
Unlimited free Voi rides.
Dog-friendly office.
Collaborative, inclusive, and fast-paced workplace with colleagues from more than 50 nationalities.
Opportunity to contribute to sustainable urban transportation and micromobility.
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