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