Forward Deployed Engineer - Zurich
OpenAI · Zurich, Switzerland
CHECKED 1H AGO
Frontier labremotesenior
At a glance
Highlights
- Lead end-to-end deployments of frontier models into production systems.
- Build full-stack systems that drive measurable customer workflow impact.
- Share field feedback that shapes Research and Product roadmaps.
What they offer
- Relocation assistance
Ideal candidate
Customer-obsessed engineer who thrives in ambiguity and owns delivery end-to-end. Calm under pressure, you simplify complexity and care about turning frontier AI into real production impact.
Requirements
- 5+ years of engineering or technical deployment experience including customer-facing work
- Scoped and delivered complex systems in fast-moving or ambiguous environments
- Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
- Built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
- Simplify complexity and make fast, sound decisions under pressure
- Communicate clearly with engineers, product teams, and customer stakeholders
- Spot risks early and adjust without slowing down
- Model calm and judgment when the stakes are high
- remote policy
- Hybrid, 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets