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Senior Customer AI Engineer - Token Factory

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

About the role

Senior Customer AI Engineer to help customers transition from PoC to production and scale AI workloads on Nebius infrastructure, bridging engineering, delivery, and customer success to ensure deployments are stable, performant, and cost-efficient.

Responsibilities

  • 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, and 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

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
  • Solid understanding of AI/ML workloads (LLMs, inference, etc.)
  • 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 and ability to manage multiple customers and priorities
  • Structured, proactive, and solution-oriented mindset

Skills

Required:Inference frameworksCloud and infrastructure systemsDistributed systems / high-load applicationsAI/ML workloads (LLMs, inference)Customer-facing communicationOwnership & execution

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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The ultimate cloud for AI explorers

Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

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