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Senior Customer AI Engineer - Token Factory

Nebius· Technical Account Management
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Hybrid (Europe)full-timePosted 1w ago

About the role

Senior Customer AI Engineer to help customers transition PoC to production and scale AI workloads on Nebius infrastructure. Combines engineering, delivery, and customer success to ensure deployments are stable, performant, and cost-efficient in production. Remote role for Europe.

Responsibilities

  • Lead the transition from PoC to production
  • Ensure customer workloads are deployed, stable, and scalable
  • Drive time-to-production and time-to-value
  • Understand customer architectures and use cases
  • Monitor and improve: performance (latency, throughput), cost efficiency, reliability
  • Identify and resolve bottlenecks proactively
  • Work directly with customer engineering teams
  • Provide guidance on best practices and optimisation
  • Translate technical challenges into actionable solutions
  • Act as a primary technical contact for production issues
  • Coordinate with internal teams to resolve incidents
  • Communicate clearly during high-pressure situations
  • Identify opportunities to optimise and expand usage
  • Provide structured feedback to Product and Infrastructure teams
  • Help shape better solutions based on real customer needs

Qualifications

  • Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
  • Solid understanding of cloud or infrastructure systems
  • Solid understanding of distributed systems or high-load applications
  • AI/ML workloads (LLMs, inference, etc.) is a strong plus
  • Ability to troubleshoot and reason about system performance
  • Experience working directly with technical customers (e.g. engineers, ML teams)
  • Ability to communicate complex topics clearly and effectively
  • Strong sense of ownership – you drive outcomes, not just tasks
  • Ability to manage multiple customers and priorities
  • Structured, proactive, and solution-oriented mindset

Skills

Required:Inference frameworksCloud / infrastructure systemsDistributed systems / high-load applicationsCustomer-facing communicationOwnership and execution
Nice to have:AI/ML workloads (LLMs, inference)

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Oct 14, 2026. Interested? Apply on the company site.
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Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

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