<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p> <p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</p></div><h3><strong><span data-ccp-props="{}">The role</span></strong></h3> <p>We're looking for a <strong>Senior Customer AI Engineer</strong> who will join our <strong>Token Factory </strong>team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.</p> <p>This role sits at the intersection of <strong>engineering, delivery, and customer success</strong> – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive <strong>stable, performant, and cost-efficient deployments</strong>.</p> <p>This role is NOT:</p> <ul> <li>A sales role (though you will support expansion through value)</li> <li>A pure support role (you won’t just react to tickets)</li> <li>A solution architect role (you won’t design systems from scratch)</li> </ul> <p><span data-ccp-props="{}">You’re welcome to work remotely from <strong>Europe</strong>.</span></p> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Your responsibilities will include:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <p><span style="text-decoration: underline;"><strong>Own the production journey</strong></span></p> <ul> <li>Lead the transition from PoC to production</li> <li>Ensure customer workloads are deployed, stable, and scalable</li> <li>Drive time-to-production and time-to-value</li> </ul> <p><span style="text-decoration: underline;"><strong>Ensure technical success in production</strong></span></p> <ul> <li>Understand customer architectures and use cases</li> <li>Monitor and improve:<br>- performance (latency, throughput)<br>- cost efficiency<br>- reliability</li> <li>Identify and resolve bottlenecks proactively</li> </ul> <p><span style="text-decoration: underline;"><strong>Act as a trusted technical partner</strong></span></p> <ul> <li>Work directly with customer engineering teams</li> <li>Provide guidance on best practices and optimisation</li> <li>Translate technical challenges into actionable solutions</li> </ul> <p><span style="text-decoration: underline;"><strong>Manage risks and incidents</strong></span></p> <ul> <li>Act as a primary technical contact for production issues</li> <li>Coordinate with internal teams to resolve incidents</li> <li>Communicate clearly during high-pressure situations</li> </ul> <p><span style="text-decoration: underline;"><strong>Drive continuous improvement</strong></span></p> <ul> <li>Identify opportunities to optimise and expand usage</li> <li>Provide structured feedback to Product and Infrastructure teams</li> <li>Help shape better solutions based on real customer needs</li> </ul> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">We expect you to have:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <p><strong><span style="text-decoration: underline;">Technical background</span></strong></p> <ul> <li>Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)</li> <li>Solid understanding of:<br>- cloud or infrastructure systems<br>- distributed systems or high-load applications<br>- AI/ML workloads (LLMs, inference, etc.) is a strong plus</li> <li>Ability to troubleshoot and reason about system performance</li> </ul> <p><span style="text-decoration: underline;"><strong>Customer-facing experience</strong></span></p> <ul> <li>Experience working directly with technical customers (e.g. engineers, ML teams)</li> <li>Ability to communicate complex topics clearly and effectively</li> </ul> <p><span style="text-decoration: underline;"><strong>Ownership & execution</strong></span></p> <ul> <li>Strong sense of ownership – you drive outcomes, not just tasks</li> <li>Ability to manage multiple customers and priorities</li> <li>Structured, proactive, and solution-oriented mindset</li> </ul> <p><stron