Senior Customer AI Engineer

Role description

Role Overview

Join Nebius' Token Factory team to help customers transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success.

What You Will Do

Own the production journey, lead the transition from PoC to production, ensure customer workloads are deployed, stable, and scalable, and drive time-to-production and time-to-value.

Why It Might Be a Fit

You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments. You will act as a trusted technical partner, provide guidance on best practices and optimisation, and translate technical challenges into actionable solutions.

Requirements

• Technical background
• Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
• Solid understanding of cloud or infrastructure systems, distributed systems or high-load applications, and AI/ML workloads (LLMs, inference, etc.)
• Customer-facing experience
• Experience working directly with technical customers (e.g. engineers, ML teams)
• Ability to communicate complex topics clearly and effectively
• Ownership & execution
• Strong sense of ownership – you drive outcomes, not just tasks
• Ability to manage multiple customers and priorities
• Structured, proactive, and solution-oriented mindset

Benefits

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