Senior Customer AI Engineer - Token Factory

Details

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through production deployment. The Token Factory team helps customers transition AI workloads from proof of concept to production and scale them on Nebius infrastructure.

This role sits at the intersection of engineering, delivery, and customer success. You will work with customer engineering teams, Solution Architects, and Product and Infrastructure teams to drive stable, performant, and cost-efficient deployments. It is not a sales role, pure support role, or solution architect role.

Responsibilities

Own the Production Journey

• Lead the transition from proof of concept 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, including latency and throughput, cost efficiency, and reliability.
• Proactively identify and resolve bottlenecks.

Act as a Trusted Technical Partner

• Work directly with customer engineering teams.
• Provide guidance on best practices and optimization.
• 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 optimize and expand usage.
• Provide structured feedback to Product and Infrastructure teams.
• Help shape better solutions based on real customer needs.

Requirements

• Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar technologies.
• Solid understanding of cloud or infrastructure systems.
• Knowledge of distributed systems or high-load applications.
• Understanding of AI/ML workloads, including large language models and inference, is a strong plus.
• Ability to troubleshoot and reason about system performance.
• Experience working directly with technical customers, such as engineers and ML teams.
• Ability to communicate complex topics clearly and effectively.
• Strong sense of ownership and ability to drive outcomes.
• Ability to manage multiple customers and priorities.
• Structured, proactive, and solution-oriented mindset.

Additional Qualifications

• Experience with GPU workloads or AI infrastructure.
• Background in solutions engineering, site reliability engineering, or technical support in B2B environments.

Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
• Remote work reimbursement of up to $85 per month for mobile and internet.
• Company-paid short-term disability, long-term disability, and life insurance coverage.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.

Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire.