Re-engineer Business Processes: Analyze legacy internal workflows across Ringier's departments, identify bottlenecks, and architect modern, AI-augmented operational pipelines from the ground up.
Deploy Google Gemini AI: Leverage Google AI Studio and the Gemini API to build, test, and deploy powerful generative AI applications tailored to our complex operational challenges.
Drive 'Vibe Coding' Initiatives: Utilize contextual coding tools like Codex, Gemini, and Claude to rapidly prototype, iterate, and deploy software in real-time, embracing a fluid, AI-assisted development rhythm.
Train and Empower Teams: Lead high-energy, engaging workshops to upskill internal departments across Ringier, transforming our staff into confident AI operators who know exactly what can be achieved with tools like Google AI Studio.
Own the End-to-End Delivery: Bridge the gap between technical execution and business strategy, ensuring all internal AI agents operate reliably in production and deliver measurable ROI for the organization.
Requirements
Proven experience as a full-stack engineer, AI solutions architect, or internal tools engineer who thrives in cross-functional, highly collaborative environments.
Strong proficiency in contextual coding and building applications alongside modern LLMs (Gemini, Claude, Codex/OpenAI).
Exceptional communication skills with an infectious, high-energy approach to educating and evangelizing AI concepts to both technical and non-technical stakeholders within the company.
A strategic mindset capable of mapping out internal transformations and fundamentally redesigning how our business operates day-to-day.
A relentless generalist mentality with a high tolerance for ambiguity and the ability to adapt to new tech stacks at breakneck speed.
Nice to have: Direct experience managing large-scale internal rollouts of Google Gemini or building advanced prompts and workflows specifically within Google AI Studio.
A background in internal technical training, change management, or corporate evangelism.
Hands-on experience building, testing, and deploying autonomous AI agents in live production environments.
A portfolio of rapid-prototyped internal AI tools, hackathon wins, or open-source contributions in the generative AI ecosystem.
Benefits
We value work-life balance and have flexible working hours
Lots of team activities and perks: yearly retreats, workshops, hackathons
A chance to work with a team of experienced engineers committed to continuous learning, with opportunities for growth through knowledge-sharing sessions and webinars
Work with an international team of world-class engineers
A modern, sunny, open working place with a positive and fun atmosphere.
A stimulating work experience that will allow you to grow both professionally and personally.