AI Field Engineer, EMEA

📋 Description Embed with customers to turn AI problems into production systems Build POCs, MVPs, and production integrations in customer environments Ship code, run benchmarks, and debug production issues Architect scalable deployments and optimize latency, throughput, cost Lead discovery conversations and translate pain points into product improvements Spend time on-site with customers to build trust and momentum 🎯 Requirements 5+ years in a hands-on, customer-facing technical role Shipped production software for customers; code in production Strong Python skills; comfortable with production code; Kubernetes knowledge Working knowledge of the LLM stack: inference, serving, fine-tuning (SFT core) Experience with cloud infrastructure (AWS/Azure/GCP) and GPU deployments Excellent communication: discovery calls, VP-level presentations, latency debugging 🎁 Benefits Solve hard problems at the frontier of AI infrastructure Build next-generation tech that changes how businesses harness AI Ownership and impact in a fast-growing, no-bureaucracy team Learn from world-class engineers and researchers