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 Singapore.

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:
  o performance (latency, throughput)
  o cost efficiency
  o 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