AI Field Engineer EMEA

You will build POCs, MVPs, and production integrations with enterprise customers. You will architect and benchmark inference deployments, tune model-serving configurations, and troubleshoot production issues. You will lead technical discovery, manage executive and engineering stakeholders, guide fine-tuning and evaluation strategy, and turn customer feedback into product improvements.

Responsibilities

• Build end-to-end POCs and MVPs with customer engineering teams
• Architect scalable inference foundations and deployments
• Run load tests and tune deployments for latency, throughput, and cost targets
• Deploy and validate model families using vLLM and SGLang
• Guide model selection, fine-tuning strategy, and evaluation methodology
• Build fine-tuning pipelines and evaluation frameworks
• Lead discovery conversations and manage technical customer relationships
• Embed on-site with customer teams
• Translate customer feedback into product proposals and roadmap input
• Document repeatable deployment patterns

Requirements

• 5+ years in a hands-on customer-facing technical role
• Experience shipping production software in customer environments
• Python
• Kubernetes
• Infrastructure engineering
• LLM inference, model serving, and fine-tuning workflows
• Cloud infrastructure including AWS, Azure, or GCP
• GPU infrastructure
• Communication skills