Senior Customer AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $209.8k - $262.2k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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