AI Deployment Engineer, Startups
OpenAI · Sydney, Australia · Go To Market
About this role
OpenAI is hiring a mid-level Professional Services Consultant based in Sydney, Australia. The posting calls out experience with Reinforcement Learning, Machine Learning, OpenAI.
- Role
- Professional Services Consultant
- Function
- services
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Sydney, Australia
- Department
- Go To Market
- Posted
- May 11, 2026
More roles at OpenAI
Job description
from OpenAI careersAbout the team
The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior.
This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems.
About the role
We are seeking a technically proficient, product-minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction.
This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice.