<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>Singapore</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> <ul> <li><strong>Own the production journey</strong><br>• Lead the transition from PoC to production<br>• Ensure customer workloads are deployed, stable, and scalable<br>• Drive time-to-production and time-to-value<br><br></li> <li><strong>Ensure technical success in production</strong><br>• Understand customer architectures and use cases<br>• Monitor and improve:<br>o performance (latency, throughput)<br>o cost efficiency<br>o reliability<br>• Identify and resolve bottlenecks proactively<br><br></li> <li><strong>Act as a trusted technical partner</strong><br>• Work directly with customer engineering teams<br>• Provide guidance on best practices and optimisation<br>• Translate technical challenges into actionable solutions<br><br></li> <li><strong>Manage risks and incidents</strong><br>• Act as a primary technical contact for production issues<br>• Coordinate with internal teams to resolve incidents<br>• Communicate clearly during high-pressure situations<br><br></li> <li><strong>Drive continuous improvement</strong><br>• Identify opportunities to optimise and expand usage<br>• Provide structured feedback to Product and Infrastructure teams<br>• 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:</li> </ul> <p style="padding-left: 40px;">- cloud or infrastructure systems<br>- distributed systems or high-load applications<br>- AI/ML workloads (LLMs, inference, etc.) </p> <ul> <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><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">It will be an added bonus if you have:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226"