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 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