Senior AI Engineer – Full-Stack

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🔥 23 minutes ago

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Holtzbrinck

10,000+ employees

Holtzbrinck is a global group of companies dedicated to exploring and publishing ideas, information, and stories that win hearts, change minds, and improve lives.

📋 Description

• Own AI-powered features end-to-end, from scoping, design and requirements engineering to feature evaluation, deployment and operation. • Design, build and maintain cloud-native, event-driven AI applications across the full stack. • Evaluate, integrate, and optimize AI models for production use (quality, latency, cost). • Build and maintain robust AI inference, evaluation, and monitoring pipelines. • Collaborate closely with product, design, and non-technical stakeholders to identify requirements and turn business needs into value-creating technical solutions. • Operate and improve production systems, taking ownership of reliability, quality, and technical debt. • Plan, track, and break down work effectively in an agile team.

🎯 Requirements

• Pragmatic, result-oriented analytical problem solving skills that can overcome ambiguity. • Self-organised, purpose-driven individual that likes to collaborate with and enable their team. • Friendly, concise, audience-oriented communication in written and spoken form (English). • A T-shaped engineer with strong general software engineering and AI skills, paired with deep expertise in at least one area: Frontend: Advanced experience with React and TS, building high-quality, user-facing apps. • Backend: Deep experience designing and operating scalable, event-driven Python systems in cloud-native environments. • AI: In-depth knowledge of frontier AI models, evaluation, integration into AI-powered product features, and production best practices. • Proven experience owning features end-to-end, from technical design to production. • Strong understanding of how to integrate AI into production systems, including the challenges of non-deterministic behavior. • Experience building and operating cloud-native systems, ideally on Google Cloud / Firebase with solid DevOps and MLOps fundamentals, including CI/CD, observability, and Infrastructure as Code. • Experience in the publishing or media industry. • Experience applying & implementing SRE methodologies • Advanced understanding of ML, LLMs and trends in the AI market • Specialized, deep expertise in a relevant area.

🏖️ Benefits

• Competitive salary • Great career development opportunities, incl. learning and development budget • 100% fully-remote (Croatia, Germany, France, Lithuania, Netherlands, Poland, Sweden, UK) • Great work-life balance (#familyfirst)

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