2 часа назад
Senior Customer AI Engineer (Token Factory)
180 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Customer AI Engineer (Token Factory): Leading customer AI workloads from proof-of-concept to stable, scalable production deployments on Nebius infrastructure with an accent on inference performance, reliability, and cost efficiency. Focus on troubleshooting distributed AI systems, coordinating production incident resolution, and translating customer engineering challenges into actionable solutions.
Location: Remote - United States
Base compensation: $180,000–$225,000 USD per year
Company
Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.
What you will do
- Lead customer workloads from proof-of-concept through production and drive time-to-production and time-to-value.
- Ensure deployments are stable, scalable, performant, reliable, and cost-efficient.
- Work directly with customer engineering and ML teams as a trusted technical partner.
- Monitor latency, throughput, cost efficiency, and reliability while proactively identifying and resolving bottlenecks.
- Coordinate production incident resolution with internal teams and communicate clearly during high-pressure situations.
- Provide structured feedback to Product and Infrastructure teams and identify opportunities to optimize and expand usage.
Requirements
- Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar.
- Solid understanding of cloud or infrastructure systems and distributed systems or high-load applications.
- Ability to troubleshoot and reason about system performance.
- Experience working directly with technical customers, including engineers or ML teams, and communicating complex topics clearly.
- Strong ownership, structured execution, proactive problem-solving, and the ability to manage multiple customers and priorities.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility.
Nice to have
- Experience with AI/ML workloads, including LLMs and inference.
- Experience with GPU workloads or AI infrastructure.
- Background in solutions engineering, SRE, or technical support in B2B environments.
Culture & 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.
- Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85 per month for mobile and internet expenses.
- Company-paid short-term, long-term, and life insurance, plus learning opportunities and a collaborative international environment.
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