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    Job · 20982082

    REMOTEFULLTIME

    Senior Customer AI Engineer - Token Factory

    Nebius

    Nebius

    Remote · remote · Posted 8d ago

    Sourced fromGreenhouse
    Not disclosed3–7 yrsfulltimeRemote

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    Section · 01

    About this 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:

    Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

    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.

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    Section · 02

    Skills

    Design SystemsReact.Js

    Section · Company

    About Nebius

    Nebius

    Nebius

    Amsterdam

    NL

    About

    Nebius AI is an AI cloud infrastructure company that provides full-stack computing services and platforms. Nebius AI is an AI-centric public cloud platform, launched in late 2023 and specifically crafted to serve AI models from ML training to inferencing at a scale. Our mission is to enable ML practitioners to concentrate on their core job while DevOps, MLOps and infrastructure related tasks are on us. Our goal is to build an ML-specific cloud platform covering the whole ML lifecycle from A to Z: from data preparation and data labeling to ML training and inference.

    Industries

    AI InfrastructureCloud InfrastructureGPUIaaSPaaS

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