Senior Customer AI Engineer - Token Factory

Role overview A customer-facing engineering role focused on helping clients move AI inference workloads from proof-of-concept into stable, scalable production. The position bridges pre-sales commitments and real-world deployment, partnering with customer engineering teams, solution architects, and internal product and infrastructure groups to deliver performant and cost-efficient outcomes.

Responsibilities - Lead end-to-end transitions from PoC to production, ensuring deployments are stable, scalable, and delivered on time - Monitor and improve production performance across latency, throughput, cost efficiency, and reliability, proactively resolving bottlenecks - Act as a primary technical contact for customer engineering teams, providing guidance on optimization and best practices - Coordinate incident response and serve as the technical point of contact during high-pressure production issues - Translate customer technical challenges into actionable solutions and provide structured feedback to product and infrastructure teams - Identify opportunities to optimize and expand usage based on real customer outcomes

Requirements - Practical knowledge of inference frameworks such as vLLM, TensorRT, or comparable tools - Solid understanding of cloud or infrastructure systems, distributed systems or high-load applications, and AI/ML workloads including LLMs and inference - Ability to troubleshoot and reason about system performance - Experience working directly with technical customers such as engineers or ML teams - Strong communication skills with the ability to explain complex technical topics clearly - A structured, solution-oriented mindset with a strong sense of ownership and the ability to manage multiple customers and priorities

Nice to have - Hands-on experience with GPU workloads or AI infrastructure - Background in solutions engineering, SRE, or technical support in B2B environments

Benefits and work setup - Remote work from Europe - Emphasis on ownership, flexibility, and collaborative culture - Career growth and learning opportunities in an international environment