Senior Customer AI Engineer

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 the United States.

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
  
  

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.