Senior Customer AI Engineer
Posted 11hrs ago
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Job Description
Senior Customer AI Engineer guiding customers from proof-of-concept to production on Nebius’s AI cloud platform. Optimizing reliable, scalable, and cost-efficient AI workloads.
Responsibilities:
- Lead customers’ transition from proof-of-concept to production
- Ensure customer workloads are deployed, stable, scalable, performant, reliable, and cost-efficient
- Drive time-to-production and time-to-value
- Understand customer architectures and use cases
- Monitor and improve latency, throughput, cost efficiency, and 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 the 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
- Collaborate with Solution Architects and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments
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
- Understanding of AI/ML workloads, including LLMs 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 outcome-oriented execution
- Ability to manage multiple customers and priorities
- Structured, proactive, and solution-oriented mindset
- Experience with GPU workloads or AI infrastructure is an added bonus
- Background in solutions engineering, SRE, or technical support in B2B environments is an added bonus
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility
Benefits:
- 100% company-paid medical, dental, and vision coverage for employees and families
- 401(k) plan with up to 4% company match and immediate vesting
- 20 weeks paid parental leave for primary caregivers
- 12 weeks paid parental leave for secondary caregivers
- Remote work reimbursement up to $85/month for mobile and internet
- Company-paid short-term disability, long-term disability, and life insurance coverage
- 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














