Senior Customer AI Engineer - Token Factory
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