<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong><p>HRvizer is partnering with a fast-growing European technology company that is redefining how knowledge-intensive industries leverage Artificial Intelligence. Our client has developed an advanced AI platform that automates complex business processes, allowing specialists to focus on strategic decision-making rather than repetitive manual work.</p><p><br/></p><p>Supported by leading investors and experiencing rapid international growth, the company is looking for a Senior AI Data Infrastructure Engineer to strengthen its engineering team.</p><p><br/></p><p>About the Role</p><p><br/></p><p>This position is ideal for an experienced software engineer who enjoys building scalable backend systems and reliable data infrastructure for AI-powered applications. You will play a key role in designing the technical foundation that enables Large Language Model (LLM) solutions to operate efficiently, reliably, and at scale.</p><p><br/></p><p>Working alongside product, AI, and engineering teams, you’ll help improve system quality, performance, monitoring, and operational excellence across production AI environments.</p><p><br/></p><p>Key Responsibilities</p><p><br/></p><p>* Design and maintain scalable data pipelines supporting AI-driven appl</p>ications.<p>* Develop frameworks to evaluate AI model performance using benchmark datasets, automated testing, and human validation processes.</p><p>* Implement monitoring solutions that provide visibility into AI system behaviour, performance, latency, and reliability.</p><p>* Analyse production data to identify improvement opportunities, optimise costs, and increase system stability.</p><p>* Build tooling for logging, tracing, debugging, and performance analysis across distributed services.</p><p>* Collaborate on backend architecture and contribute to the continuous enhancement of AI-powered products.</p><p><strong>* </strong>Create automated validation processes ensuring updates to prompts, models, and workflows meet predefined quality standards before deployment.</p><p>* Support long-term storage, replay, and analysis of production events and AI interactions.</p><strong><p><br/></p><p>To be successful in this role, you should have:</p><p><br/></p><p>* A minimum of 5 years of hands-on experience in a similar position, such as Data Engineer, AI Infrastructure Engineer, Backend Engineer, Machine Learning Engineer, or a closely related role.</p></strong><p>* Strong professional experience with Python and backend software development.</p><p>* Advanced SQL skills and experience working with large-scale datasets.</p><p>* Hands-on experience designing, building, and maintaining modern data pipelines, ETL/ELT processes, or event-driven architectures.</p><p>* Experience deploying and operating cloud-based solutions (GCP preferred; AWS or Azure are also welcomed).</p><p>* Solid understanding of analytical databases, data warehouses, and high-volume event or trace data.</p><p>* Strong knowledge of system architecture, observability, monitoring,<strong> </strong>logging, debugging, and software reliability best practices.</p><p>* The ability to make sound technical decisions, communicate architectural trade-offs, and contribute to scalable engineering solutions.</p><p>* Excellent analytical and problem-solving skills, with the ability to thrive in fast-paced, evolving environments.</p><strong><p><br/></p><p>Preferred Qualifications</p></strong><p><br/></p><p>* Experience working with production-grade LLM or Generative AI applications.</p><p>* Knowledge of AI model evaluation, prompt optimisation, or agent-based architectures.</p><p>* Familiarity with workflow orchestration platforms (e.g., Temporal or similar).</p><p>* Experience in highly regulated industries such as finance, compliance, or enterprise software.</p><p>* Previous experience in a startup or high-growth technology company is considered an advantage.</p><strong><p><br/></p><p>What Our Client Offers</p><p><br/></p><p>* Competitive salary complemented by an attractive equity p</p>rogramme.<p>* Opportunity to contribute to cutting-edge AI products with real-world impact.</p><p>* Continuous learning support through training budgets and professional development opportunities.</p><p>* Flexible working environment with hybrid collaboration options.</p><p>* Modern office in Berlin, regular team events, retreats, and an international engineering culture.</p><p>* A collaborative workplace where innovation, ownership, and continuous improvement are highly valued.</p><p><br/></p><p>If you’re passionate about backend engineering, data infrastructure, and the future of AI systems, we’d love to hear from you.</p><strong><p><br/></p><p>Apply today through HRvizer and become part of a team building the next generation of intelligent software solutions.</p></strong></strong></strong> </div>