AI Field Engineer (EMEA)

Join Fireworks as an AI Field Engineer in EMEA, where you'll work closely with ambitious customers and technology partners to turn complex AI problems into production systems. You'll be hands-on in building POCs, MVPs, and production integrations, while also engaging in executive-level conversations about architecture, strategy, and business outcomes. This role requires strong technical delivery paired with executive presence, as you'll manage executive relationships and align teams while staying hands-on in the code.

Responsibilities

• Concevoir et mettre en œuvre des preuves de concept (POC) et des produits minimum viables (MVP) en collaboration avec les équipes d'ingénierie des clients.
• Diriger les conversations de découverte structurées pour comprendre les points de douleur des clients et proposer des solutions adaptées.

Requirements

• Gérer la relation technique avec le client depuis le premier contact jusqu'au déploiement en production, en établissant la confiance avec les ingénieurs ML et les VP.
• This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call
• Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus)
• Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering
• 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder
• Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure
• Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment
• Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon

10+ years in technical field or engineering roles

• Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads
• Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems
• Track record taking GenAI POCs from prototype to production-scale deployments
• Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex)
• Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains