Senior Customer AI Engineer - Token Factory

About the Role

We are partnering with a company based in Ireland seeking a Senior Customer AI Engineer specializing in the Token Factory. This role plays a critical part in advancing AI infrastructure by helping businesses shift AI applications from experimental phases to dependable, scalable production environments. You will act as the bridge between engineering, delivery, and customer success to ensure AI workloads perform effectively and reliably in real-world scenarios.

Key Responsibilities

• Lead customers through the journey from initial proof of concept to production deployment and scaling.
• Guarantee stable, scalable AI workload deployments that evolve with business needs.
• Accelerate implementation by resolving technical barriers swiftly.
• Optimize AI systems focusing on inference performance metrics such as latency, throughput, resource use, and cost-effectiveness.
• Identify bottlenecks and root causes, delivering actionable solutions to enhance reliability and scalability.
• Implement best practices for AI inference frameworks and production infrastructure.
• Act as a trusted advisor to customer engineers and machine learning teams, providing guidance on performance, troubleshooting, and deployment readiness.
• Collaborate closely with Solution Architects and in-house engineering teams to ensure alignment between customer needs and platform capabilities.
• Serve as the main technical contact for production incidents, leading investigations, coordinating with Product and Infrastructure teams, and ensuring timely communication under pressure.
• Proactively identify risks and minimize disruptions to customer workloads.
• Continuously seek improvements in deployments, contribute to enhanced platform capabilities, and develop scalable methods to improve customer experience and AI adoption.

Required Qualifications

• Hands-on experience with AI inference frameworks such as vLLM, TensorRT, or comparable technologies, particularly in production settings.
• Strong knowledge of cloud infrastructure, distributed systems, and challenges related to scaling production applications.
• Familiarity with AI and machine learning workloads, especially large language models, inference techniques, and serving architectures.
• Proven skills in complex troubleshooting, system behavior analysis, bottleneck identification, and solution development.
• Experience working collaboratively with technical customer teams, including software engineers and machine learning specialists.
• Excellent ability to communicate complex technical concepts clearly to diverse audiences.
• A robust sense of ownership with a focus on delivering impactful results rather than just completing tasks.
• Capability to juggle multiple customer engagements and priorities in dynamic environments.
• A methodical, proactive, and solution-focused approach, with confidence in independent problem solving and effective resource coordination.
• Strong team collaboration skills across customer teams and internal functions.
• Preferred additional experience includes hands-on work with GPU workloads, AI infrastructure at scale, solutions engineering, site reliability engineering (SRE), or technical support in B2B tech contexts.
• Prior experience assisting customers with deploying, optimizing, and maintaining complex cloud or AI-powered production applications is advantageous.

Benefits and Advantages

• Competitive salary package aligned with expertise and experience.
• Promotion and skill enhancement opportunities within a fast-evolving AI infrastructure sector.
• Continuous exposure to cutting-edge AI technologies and production challenges.
• Flexibility to work remotely from anywhere in Europe with autonomy in managing workload and schedule.
• Opportunity to take ownership and influence technical decisions affecting production success.
• Work in a collaborative, innovative international team with talented engineers and specialists.
• Impact business outcomes by moving AI applications into scalable, reliable, and cost-efficient production.
• Engage cross-functionally with customer and internal teams across product, infrastructure, and AI engineering.
• Contribute to shaping the future of AI infrastructure through customer deployment insights.

Additional Information

This role is listed on behalf of a partner company that handles all applications and recruitment steps. The position offers a unique chance to blend deep technical knowledge with direct customer interaction and full project ownership in AI infrastructure development.