6 дней назад
Full-Stack Software Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full-Stack Software Engineer (AI): Building coaching, insights, and analysis tools that turn sports match data and video into scalable products for coaches and players with an accent on full-stack development, intuitive frontend experiences, backend services, and video-driven features. Focus on designing maintainable architectures, integrating AI and platform systems, and ensuring performance, reliability, and production quality across the product lifecycle.
Location: Copenhagen Office, on-site
Company
builds an AI-powered sports camera and analysis ecosystem that captures matches and turns video, player tracking, and match data into coaching and analysis products.
What you will do
- Build intuitive frontend experiences, scalable backend services, and APIs across the full stack.
- Contribute throughout the product lifecycle, from ideation and design through deployment, monitoring, and iteration.
- Design and maintain systems that support a growing platform and user base.
- Contribute to architecture decisions, technical discussions, and data modeling.
- Integrate AI and video-driven insights with platform and product systems.
- Collaborate with engineering, product, design, and other teams through code reviews and shared ownership.
Requirements
- 5+ years of software engineering experience, ideally in a product-led environment.
- Full-stack application development experience with Python, Django, PostgreSQL, TypeScript, Node.js, and React.
- Experience designing clean, maintainable systems and making sound architectural trade-offs.
- Experience with testing, CI/CD, and production-quality system maintenance.
- Ability to collaborate across the stack with Product and Design.
- Curiosity about modern AI tools and their use in software development.
Nice to have
- Interest in sports, video technologies, or data-driven insights.
Culture & Benefits
- Initiative, curiosity, and challenging the status quo are encouraged.
- Shared ownership and responsibility for product impact.
- Continuous learning and professional growth.
- Cross-functional collaboration in a diverse organization.
- Close partnerships and a strong focus on customer value.
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