AI Field Engineer, EMEA

Highlights

• Embed with ambitious customers to turn complex AI problems into production systems.
• Build end-to-end POCs and MVPs inside customer codebases and infrastructure.
• Guide enterprise GenAI adoption from discovery through production at scale.

Ideal candidate

Hands-on engineer who thrives on-site with customers, pairing strong delivery with executive presence. You love shipping production AI and translating business pain into working systems.

Requirements

• Shipped production software running in customer environments
• Strong Python skills with ability to read, write and debug production code
• Familiarity with Kubernetes and infrastructure engineering
• Working knowledge of LLM stack including inference trade-offs, model serving and fine-tuning workflows
• Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure
• Exceptional communication across executive and engineering stakeholders
• 10+ years in technical field or engineering roles
• Experience with inference serving frameworks and tuning deployments for real workloads
• Track record taking GenAI POCs from prototype to production-scale deployments
• Experience with hyperscaler AI platforms such as Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex
• Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains