Senior Customer AI Engineer - Token Factory

Nebius Group; Amsterdam; Remote; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI

Job summary

Nebius Group is seeking a Senior Customer AI Engineer to join our Token Factory team and help customers transition from PoC to production, scaling AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery and customer success, ensuring promises made during pre-sales work reliably in production.

You will collaborate with customer engineering teams, Solution Architects and Product/Infrastructure to drive stable, performant deployments.

Qualifications

• Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar).
• Solid understanding of cloud or infrastructure systems, distributed systems or high-load applications, and AI/ML workloads.
• Ability to troubleshoot and reason about system performance.
• Experience working directly with technical customers (e.g. engineers, ML teams).
• Ability to communicate complex topics clearly and effectively.
• Strong sense of ownership – you drive outcomes, not just tasks.
• Ability to manage multiple customers and priorities.
• Structured, proactive, and solution-oriented mindset.
• Experience with GPU workloads or AI infrastructure (bonus).
• Background in solutions engineering, SRE, or technical support in B2B environments (bonus).

Responsibilities

• 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, and 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

Skills

Inference frameworks

Cloud / infrastructure

Distributed systems / high-load

Performance troubleshooting

Customer-facing experience

Ownership

Job description

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, and 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, and 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

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.