Senior Customer AI Engineer - Token Factory

About Nebius: 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. 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. 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. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – 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 stable, performant, and cost-efficient deployments . This role is NOT: - A sales role (though you will support expansion through value) - A pure support role (you won’t just react to tickets) - A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States .

Your responsibilities will include: Own the production journey - Lead the transition from PoC to production - Ensure customer workloads are deployed, stable, and scalable - Drive time-to-production and time-to-value Ensure technical success in production - Understand customer architectures and use cases - Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability - Identify and resolve bottlenecks proactively Act as a trusted technical partner - Work directly with customer engineering teams - Provide guidance on best practices and optimisation - Translate technical challenges into actionable solutions Manage risks and incidents - Act as a primary technical contact for production issues - Coordinate with internal teams to resolve incidents - Communicate clearly during high-pressure situations Drive continuous improvement - Identify opportunities to optimise and expand usage - Provide structured feedback to Product and Infrastructure teams - Help shape better solutions based on real customer needs We expect you to have: Technical background - Practical knowledge of inference frameworks (e. g. vLLM, TensorRT, or similar) - Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc. ) is a strong plus - Ability to troubleshoot and reason about system performance Customer-facing experience - Experience working directly with technical customers (e. g. engineers, ML teams) - Ability to communicate complex topics clearly and effectively Ownership & execution - Strong sense of ownership – you drive outcomes, not just tasks - Ability to manage multiple customers and priorities - Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: - Experience with GPU workloads or AI infrastructure - Background in solutions engineering, SRE, or technical support in B2B environments Key employee benefits in the US: - Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) plan: Up to 4% company match with immediate vesting. - Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote work reimbursement: Up to $85/month for mobile and internet.