Forward Deployed Engineer - Munich

OpenAI OpenAI · AI Frontier · Munich, Germany · Model Deployment for Business

This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving system design, build, and production rollout. The engineer will work closely with customer teams to deliver value, gather feedback for product and model improvements, and contribute to the development of reusable tools and playbooks. The role requires strong engineering experience, including building and deploying LLM-powered systems, and the ability to manage complex projects in ambiguous environments.

What you'd actually do

  1. Own technical delivery across multiple deployments from first prototype to stable production
  2. Build full-stack systems that deliver customer value and sharpen how we learn
  3. Embed closely with customer teams, understand their needs, and guide adoption of what you build
  4. Scope work, sequence delivery, and remove blockers early
  5. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

Skills

Required

  • 5+ years of engineering or technical deployment experience
  • Customer-facing work experience
  • Scoping and delivering complex systems in fast-moving or ambiguous environments
  • Production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
  • Experience building or deploying systems powered by LLMs or generative models
  • Ability to simplify complexity and make fast, sound decisions under pressure
  • Clear communication with engineers, product teams, and customer stakeholders
  • Risk spotting and adjustment
  • Calmness and judgment under pressure

Nice to have

  • understanding how model behaviour affects product experience

What the JD emphasized

  • production systems
  • frontier models
  • production rollout
  • eval-driven feedback
  • production-grade code
  • systems powered by LLMs or generative models

Other signals

  • customer delivery
  • production systems
  • frontier models
  • end-to-end deployments
  • system design
  • production rollout
  • measurable workflow impact
  • eval-driven feedback
  • product and model roadmaps