AI Field Engineer, EMEA

Fireworks AI
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Stakeholder management","Debugging","Architecture","Discovery facilitation"]

Embed with enterprise customers and technology partners to turn complex GenAI problems into production-ready systems. Build end-to-end POCs and MVPs in customer codebases, architect inference foundations, run load tests, and deploy/validate models using inference frameworks like vLLM and SGLang. Lead discovery conversations, manage stakeholders from ML engineers to VPs, and translate field learnings into product improvements and deployment patterns.

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FursaFursa
Fireworks AI
Fireworks AI
2 weeks ago

AI Field Engineer, EMEA

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Embed with enterprise customers and technology partners to turn complex GenAI problems into production-ready systems. Build end-to-end POCs and MVPs in customer codebases, architect inference foundations, run load tests, and deploy/validate models using inference frameworks like vLLM and SGLang. Lead discovery conversations, manage stakeholders from ML engineers to VPs, and translate field learnings into product improvements and deployment patterns.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build end-to-end POCs and MVPs alongside customer engineering teams inside their codebases, infrastructure, and constraints.
  • •Architect inference foundations and size deployments to scale without infrastructure bottlenecks, while running load tests and tuning for latency, throughput, and cost baselines.
  • •Deploy and validate model families on inference frameworks (vLLM, SGLang), selecting optimal shapes, quantization configs, and serving patterns.
  • •Guide customers on model selection, fine-tuning strategies (SFT, DPO, RFT), and evaluation methodology; build and run fine-tuning pipelines and production-quality evaluation frameworks.
  • •Own the technical relationship from discovery through production deployment, spending time on-site with customers and feeding recurring pain points into product proposals and roadmap updates.

Key Requirements

  • •5+ years in a hands-on, customer-facing technical role (e.g., Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder).
  • •Demonstrated ability to build production software with customers, including shipping code that runs in a customer’s production environment.
  • •Strong Python skills, comfortable debugging production code, with familiarity with Kubernetes and infrastructure engineering.
  • •Working knowledge of the LLM stack, including inference trade-offs, model serving, and fine-tuning workflows (SFT; DPO/RFT a plus).
  • •Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure, plus exceptional communication for discovery and executive discussions.
Experience:GenAIEnterprise AIAI infrastructureCloudLLM
Skills:CommunicationStakeholder managementDebuggingArchitectureDiscovery facilitation
Tech Stack:PythonPyTorchMicrosoft AzureAzure AI FoundryAWSAmazon BedrockSageMakerGoogle Cloud PlatformGCP VertexKubernetesVLLMSGLangTensorRT-LLMSFTDPORFTGPUInferenceFine-tuningLoad testing

Company Brief

Fireworks AI
Develops AI-driven tools to generate and optimize visual marketing content for brands and creators, automating production of short-form videos and multimedia assets for social platforms to improve engagement and scale creative workflows.
Industry: SaaS
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