We re looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proo
TYTAN Technologies The PACE is fast.
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Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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As a Technical Lead Engineer – ML, you will develop the next generation of AI-powered radar perception systems for autonomous vehicles.
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Warum dieser Job gelistet ist
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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 Nebius 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.
will include: 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 We expect you to have: 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 - AI/ML workloads (LLMs, inference, etc.) is a strong plus - Ability to troubleshoot and reason about system performance 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 It will be an added bonus if you have: - Experience with GPU workloads or AI infrastructure - Background in solutions engineering, SRE, or technical support in B2B environments Benefits &
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 What s it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.
About Nebius: Nebius 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.
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.