Senior Customer AI Engineer - Token Factory
Remote • Remote - Europe
Posted 5d ago
Job Location
Remote - Europe
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
Nebius is a leading cloud infrastructure provider for the global AI economy, building a full-stack AI cloud platform. We are seeking a Senior Customer AI Engineer to join our Token Factory team. This role focuses on helping customers successfully transition their AI workloads from proof-of-concept to production and scale them on Nebius infrastructure. You will operate at the intersection of engineering, delivery, and customer success, ensuring reliable, performant, and cost-efficient deployments. You will collaborate closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams.
Responsibilities
- Lead the transition of customer AI workloads from proof-of-concept to production.
- Ensure customer workloads are deployed, stable, and scalable on Nebius infrastructure.
- Drive faster time-to-production and time-to-value for customers.
- Monitor and improve the performance, cost efficiency, and reliability of customer deployments.
- Proactively identify and resolve bottlenecks in AI workloads.
- Act as a trusted technical partner to customer engineering teams, providing guidance on best practices and optimization.
- Translate complex technical challenges into actionable solutions.
- Serve as the primary technical contact for production issues and coordinate incident resolution with internal teams.
- Communicate clearly and effectively during high-pressure incident situations.
- Identify opportunities to optimize and expand customer usage of Nebius services.
- Provide structured feedback to Product and Infrastructure teams to shape future solutions based on customer needs.
Requirements
- Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar.
- Solid understanding of cloud or infrastructure systems.
- Solid understanding of distributed systems or high-load applications.
- Ability to troubleshoot and reason about system performance.
- Experience working directly with technical customers, such as engineers or ML teams.
- Ability to communicate complex technical topics clearly and effectively.
- Strong sense of ownership and ability to drive outcomes.
- Ability to manage multiple customers and priorities simultaneously.
- Structured, proactive, and solution-oriented mindset.