Senior Customer AI Engineer

About Our Client:

Nebius operates in the cloud infrastructure sector tailored to the AI economy. The organization addresses the complexity and expense associated with building large-scale AI and machine learning infrastructure by providing a full-stack AI cloud platform. This platform supports developers and businesses from data and model training through to production deployment. With a global presence and a team of over 1,500 engineers across multiple continents, the company focuses on solving advanced challenges in GPU orchestration, inference optimization, and hardware-software integration for AI.

About the Opportunity:

The SENIOR CUSTOMER AI ENGINEER role involves guiding customers through the transition from proof-of-concept to live production environments on the organization’s AI infrastructure. This position bridges engineering, delivery, and customer success by ensuring promised solutions operate reliably and efficiently in production. The engineer collaborates directly with customer teams and internal stakeholders to optimize deployment stability, performance, and cost-effectiveness, playing a critical role in customer satisfaction and the operational success of AI workloads.

Responsibilities:

• Lead transition from proof-of-concept to production
• Ensure deployment stability and scalability of customer workloads
• Accelerate time-to-production and value realization
• Understand customer architectures and use cases
• Monitor and improve system performance, cost efficiency, and reliability
• Proactively identify and resolve bottlenecks
• Serve as a technical liaison with customer engineering teams
• Provide best practice guidance and optimization recommendations
• Translate technical challenges into actionable solutions
• Manage production risks and incident response
• Coordinate resolution of incidents with internal teams
• Communicate clearly during high-pressure situations
• Identify opportunities for optimization and expansion
• Provide feedback to product and infrastructure teams
• Contribute to solution improvements based on customer needs

Requirements:

• Practical experience with inference frameworks (e.g., vLLM, TensorRT)
• Solid understanding of cloud/infrastructure and distributed/high-load systems
• Knowledge of AI/ML workloads, particularly large language models and inference, is advantageous
• Strong troubleshooting and performance reasoning skills
• Experience working directly with technical customers
• Clear and effective communication abilities
• Demonstrated ownership and outcome-driven approach
• Ability to manage multiple priorities and customers
• Structured, proactive, and solution-oriented mindset

Pay Range and Compensation Package:

• Base compensation range: $209,800 to $262,200 USD
• Compensation will be determined based on experience, skills, qualifications, and location

Benefits & Perks:

• 100% company-paid medical, dental, and vision insurance for employees and families
• 401(k) plan with up to 4% company match and immediate vesting
• Paid parental leave: 20 weeks for primary caregivers, 12 weeks for secondary caregivers
• Remote work reimbursement up to $85/month
• Company-paid short-term, long-term disability, and life insurance

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.