Fireworks

AI Field Engineer, EMEA

London, Remote. Posted 3 months ago

The role

AI Field Engineers embed with customers and technology partners to turn complex AI problems into production systems. You will build POCs, MVPs, and production integrations while managing executive relationships and technical delivery.

What you will do

  • Build end-to-end POCs and MVPs alongside customer engineering teams
  • Architect inference foundations for customers built on GenAI
  • Run load tests and establish latency, throughput, and cost baselines
  • Deploy and validate new model families on inference frameworks
  • Guide customers on model selection, fine-tuning strategy, and evaluation methodology
  • Build and run fine-tuning pipelines directly with customers
  • Design and implement evaluation frameworks
  • Lead structured discovery conversations to unpack customer pain points
  • Own the technical relationship from first engagement through production deployment
  • Translate customer pain points into concrete product proposals

Required qualifications

  • 5+ years in a hands-on, customer-facing technical role
  • Demonstrated ability to build production software with customers
  • Strong Python skills
  • Familiarity with Kubernetes and infrastructure engineering
  • Working knowledge of the LLM stack
  • Experience with cloud infrastructure (AWS, Azure, GCP)
  • Experience deploying models on GPU infrastructure
  • Exceptional communication

Nice to have

  • 10+ years in technical field or engineering roles
  • Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM)
  • Experience operating as a technical authority inside a customer's environment
  • 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
  • DPO/RFT

About the company

Fireworks is a Series D company providing a platform for specialized intelligence to build, train, and serve AI models. The company is backed by investors including NVIDIA, Sequoia Capital, and Microsoft Azure Foundry.