Senior Customer AI Engineer

Vaga não está no LinkedIn

🕒 2 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $209.800 - $262.200 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 20%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Nebius Group

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

O Nebius Group está construindo uma das principais empresas de infraestrutura de IA do mundo, focando em fornecer os recursos de computação, armazenamento e ferramentas necessários para desenvolvedores no espaço de IA. Com sede na Europa e listado na Nasdaq, o Nebius tem uma presença global com centros de P&D em toda a Europa, América do Norte e Israel. A principal oferta da empresa é uma plataforma de nuvem centrada em IA projetada para cargas de trabalho intensivas de IA, complementada por vários outros negócios envolvidos em desenvolvimento de IA generativa, edtech e tecnologia autônoma.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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