AI Deployment Engineer, Startups

OpenAI

Sydney

2 days ago

Sydney

2 days ago

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AI Deployment Engineer, Startups

OpenAI seeks a product-minded AI Deployment Engineer to partner with strategic startup customers, helping optimize AI systems and translate real-world usage into improvements for OpenAI's research and products. The role requires strong software engineering and AI fundamentals, and involves prototyping, debugging, and building evaluation systems. Based in Sydney with a hybrid work model (3 days/week in office).

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Hybrid

Full-time

Entry Level

Software Engineering

Machine Learning

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid: 3 days in the office per week

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

Software EngineeringMachine LearningAIModel Training PipelinesReinforcement LearningEvaluation SystemsPrototyping

Soft Skills

Product JudgmentCommunicationCollaborationHigh AgencyProblem SolvingAdaptability

Key Responsibilities

•Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.
•Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
•Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts.
•Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
•Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.
•Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.

AI DeploymentStartupsHybridSydneyOpenAIMachine LearningEngineeringProduct

Key Responsibilities

•Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement.

•Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.

•Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts.

•Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.

•Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement.

•Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.