Senior Customer AI Engineer – Token Factory

This is a fully remote position, open to applicants in Europe.

📋 Description

• Lead customers in their transition from proof-of-concept stages to full production.

• Ensure that customer workloads are deployed in a manner that is stable, scalable, high-performing, reliable, and cost-efficient.

• Accelerate both time-to-production and time-to-value for customers.

• Gain a deep understanding of customer architectures and specific use cases.

• Monitor and enhance latency, throughput, cost efficiency, and system reliability.

• Proactively identify and resolve bottlenecks within systems.

• Collaborate directly with customer engineering teams.

• Offer guidance on best practices and optimization techniques.

• Convert technical challenges into actionable solutions.

• Serve as the primary technical contact for any production-related issues.

• Coordinate with internal teams to address and resolve incidents effectively.

• Maintain clear communication during high-pressure scenarios.

• Identify opportunities for optimization and expansion of usage.

• Provide structured feedback to Product and Infrastructure teams.

• Contribute to the development of improved solutions based on actual customer needs.

⛳️ Requirements

• Practical knowledge of inference frameworks such as vLLM, TensorRT, or similar technologies.

• Strong understanding of cloud or infrastructure systems.

• Solid comprehension of distributed systems or applications that handle high loads.

• In-depth knowledge of AI/ML workloads, including LLMs and inference processes.

• Ability to troubleshoot and analyze system performance effectively.

• Experience working directly with technical customers, such as engineers and ML teams.

• Proficient in communicating complex topics in a clear and effective manner.

• Strong sense of ownership—driving outcomes rather than merely completing tasks.

• Capacity to manage multiple customer relationships and priorities simultaneously.

• Structured, proactive, and solution-oriented approach to challenges.

• Applicants must be legally authorized to work in the country of application and provide proof of employment eligibility.

• Experience with GPU workloads or AI infrastructure is a valuable bonus.

• A background in solutions engineering, SRE, or technical support within B2B environments is an additional asset.

🏝️ Benefits

• Competitive compensation package.

• Opportunities for career growth and continuous learning.

• Flexibility and ownership in your role.

• A collaborative and innovative work culture.

• Chance to engage in impactful AI projects.

• Work in an international setting with talented teams.