AI-First Full Stack Engineer: Build Practical Solutions

BESTSELLER A/S; Brande; On-site; DKK 700,000 - 950,000; Full time

Job summary

BESTSELLER A/S in Brande, Denmark, invites a skilled Full Stack Developer to join ONLY Brand House and Brand Tech on-site. You’ll build, test, and iterate AI-powered solutions, collaborating with business experts and developers to turn ideas into working tools.

You’ll work across frontend and backend using Vue, ExpressJS and Node.js, apply generative AI techniques, and help scale automation across fashion brands in a fast-paced, collaborative environment.

Qualifications

• Strong full stack development across frontend and backend, using Vue, PrimeVue, ExpressJS and Node.js
• Practical knowledge of modern AI technologies, including generative models (LLMs/LRMs), RAG and agentic frameworks
• Familiarity with automation platforms such as Zapier, n8n and Microsoft Power Automate
• Skills within API design, MCP, microservices, integrations and cloud-based environments
• The ability to collaborate with non-technical colleagues and share knowledge across different areas of expertise

Responsibilities

• Partnering with subject matter experts across the business to identify opportunities for AI and automation
• Running time-boxed pilot projects to explore potential and test assumptions
• Ideating, designing and building AI solutions for specific business use cases
• Taking the lead on AI practices within the developer team and helping colleagues make the most of new tools and techniques
• Staying on top of developments within AI, from technology and data to what it takes to scale solutions successfully.

Job description

BESTSELLER A/S in Brande, Denmark, invites a skilled Full Stack Developer to join ONLY Brand House and Brand Tech on-site. You’ll build, test, and iterate AI-powered solutions, collaborating with business experts and developers to turn ideas into working tools.

You’ll work across frontend and backend using Vue, ExpressJS and Node.js, apply generative AI techniques, and help scale automation across fashion brands in a fast-paced, collaborative environment.