Strategic Overview
Senior Customer AI Engineer - Token Factory at Nebius is a aiml opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets).
The role is listed for Europe with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Technical Support, Senior.
Key information at a glance
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.
Key Responsibilities & Objectives
- 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)
- Lead the transition from PoC to production
Required Qualifications & Candidate Blueprint
- 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
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.) 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
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This aiml opening is a useful opportunity for candidates whose experience matches Technical Support, Senior. Its strongest career signal is the scope of the work itself — particularly A sales role (though you will support expansion through value) — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Technical Support, Senior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.