ЕвропаSenior Customer AI Engineer - Token Factory
3 дн. назад
209.8k–262.2k USD / годЕвропаSeniorRemote
gpuinfrastructureaiml
Senior role helping customers transition AI workloads from proof-of-concept to production on infrastructure, ensuring stable and efficient deployments.
О компании
- is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
- Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
- Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Обязанности
- We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on infrastructure.
- This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments .
- This role is NOT:
- A sales role (though you will support expansion through value)
- A pure support role (you won’t just react to tickets)
- A solution architect role (you won’t design systems from scratch)
- You’re welcome to work remotely from Europe .
- Own the production journey • Lead the transition from PoC to production • Ensure customer workloads are deployed, stable, and scalable • Drive time-to-production and time-to-value
- Ensure technical success in production • Understand customer architectures and use cases • Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability • Identify and resolve bottlenecks proactively
- Act as a trusted technical partner • Work directly with customer engineering teams • Provide guidance on best practices and optimisation • Translate technical challenges into actionable solutions
- Manage risks and incidents • Act as a primary technical contact for production issues • Coordinate with internal teams to resolve incidents • Communicate clearly during high-pressure situations
- Drive continuous improvement • Identify opportunities to optimise and expand usage • Provide structured feedback to Product and Infrastructure teams • Help shape better solutions based on real customer needs
Будет плюсом
- Experience with GPU workloads or AI infrastructure
- Background in solutions engineering, SRE, or technical support in B2B environments
Условия
- 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
Другое
- Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar)
- Solid understanding of:
- - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.)
- Ability to troubleshoot and reason about system performance
- Experience working directly with technical customers (e.g. engineers, ML teams)
- Ability to communicate complex topics clearly and effectively
- Strong sense of ownership – you drive outcomes, not just tasks
- Ability to manage multiple customers and priorities
- Structured, proactive, and solution-oriented mindset
- Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI