Senior Customer AI Engineer - Token Factory
# Senior Customer AI Engineer - Token Factory **Nebius** · Albania; Andorra; Austria; Belarus; Belgium; Bosnia and Herzegovina; Bulgaria; Croatia; Cyprus; Czechia; Denmark; Estonia; Finland; France; Germany; Greece; Holy See (Vatican City State); Hungary; Iceland; Ireland; Italy; Kosovo; Latvia; Liechtenstein; Lithuania; Luxembourg; Malta; Moldova; Monaco; Montenegro; Netherlands; North Macedonia; Norway; Poland; Portugal; Romania; Russian Federation; San Marino; Serbia; Slovakia; Slovenia; Spain; Sweden; Switzerland; Turkey; Ukraine; United Kingdom · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Customer-AI-Engineer]` `[Technical-Account-Manager]` `[Solutions-Engineer]` `[Customer-Success-Engineer]` `[AI-Infrastructure-Engineer]` `[Customer-Experience-AI-Engineer]` `[Senior-AI-LLM-Engineer]` `[Senior-Applied-AI-Product-Engineer]` --- ### About the Role 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 Europe . 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.) - 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 Benefits & Perks: - Competitive compensation - Career growth and learning opportunities - Flexibility and ownership - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams What's it like to work at Nebius : Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Originally posted on Himalayas
- Customer-AI-Engineer
- Technical-Account-Manager
- Solutions-Engineer
- Customer-Success-Engineer
- AI-Infrastructure-Engineer
- Customer-Experience-AI-Engineer
- Senior-AI-LLM-Engineer
- Senior-Applied-AI-Product-Engineer
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).