Senior Customer AI Engineer — Remote (US) for Production AI

Aimlroles

Northern (KY)

Hybrid

USD 180,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) plan
Parental leave
Remote work reimbursement
Disability & life insurance

Job summary

Nebius is accelerating AI infrastructure with a global footprint and a strong focus on engineers. We seek a Senior Customer AI Engineer to drive PoC-to-production transitions and ensure scalable, reliable AI workloads on Nebius infrastructure.

You will work at the intersection of engineering, delivery, and customer success, collaborating with customer teams and internal product/infrastructure groups to deliver performant, cost-efficient deployments.

Qualifications

  • Strong practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar).
  • Ability to troubleshoot and reason about system performance.
  • Experience communicating complex topics clearly to technical customers.

Responsibilities

  • Own the production journey: lead PoC to production transition and ensure workloads are deployed, stable, and scalable.
  • Ensure technical success in production by understanding architectures and monitoring performance, cost, and reliability.
  • Act as trusted technical partner with customer engineering teams to provide guidance and optimised solutions.
  • Manage risks and incidents as primary technical contact for production issues and coordinate with internal teams.

Skills

Inference frameworks
GPU workloads
Troubleshooting systems
Customer-facing communication

Tools

TensorRT
vLLM

Job description

Nebius is accelerating AI infrastructure with a global footprint and a strong focus on engineers. We seek a Senior Customer AI Engineer to drive PoC-to-production transitions and ensure scalable, reliable AI workloads on Nebius infrastructure.

You will work at the intersection of engineering, delivery, and customer success, collaborating with customer teams and internal product/infrastructure groups to deliver performant, cost-efficient deployments.

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