Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Customer AI Engineer (Token Factory): Leading the transition of customer AI workloads from proof-of-concept to stable, scalable production deployments on Nebius infrastructure with an accent on inference performance, cost efficiency, and reliability. Focus on troubleshooting distributed AI systems, resolving production bottlenecks and incidents, and translating customer engineering needs into actionable improvements.
Location: Remote - Europe. Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.
Company
Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment, with engineering hubs across Europe, the UK, North America, and Israel.
What you will do
- Lead customer transitions from proof-of-concept to stable, scalable production deployments.
- Understand customer architectures and improve workload performance, latency, throughput, cost efficiency, and reliability.
- Work directly with customer engineering and ML teams as a trusted technical partner.
- Act as the primary technical contact for production issues and coordinate incident resolution with internal teams.
- Identify optimization and expansion opportunities and provide structured feedback to Product and Infrastructure teams.
Requirements
- Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar.
- Solid understanding of cloud or infrastructure systems, distributed systems or high-load applications, and AI/ML workloads including LLM inference.
- Ability to troubleshoot systems and reason about performance bottlenecks.
- Experience working directly with technical customers and communicating complex topics clearly.
- Strong ownership, structured execution, and ability to manage multiple customers and priorities.
Nice to have
- Experience with GPU workloads or AI infrastructure.
- Background in solutions engineering, SRE, or technical support in B2B environments.
Culture & Benefits
- Competitive compensation and career growth opportunities.
- Learning opportunities, flexibility, and ownership.
- Collaborative, innovative, and international working environment.
- Opportunity to work on impactful AI projects with experienced engineering teams.
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