Nuvepro - Task Intelligence for the Enterprise
OpenAI

Ai Deployment Engineer Startups Sydney Australia

Classified Tasks (19)

Automate 0%Augment 63%Human-Only 37%

Augment (12)

AI assists, human decides

Partner with engineering, research, and product teams to convert customer insights into evaluation systems, product improvements, and model behavior changes

analytical

Translate complex, high-value customer use cases into clear signals that improve customer experience and underlying systems

analytical

Uncover failure modes in customer workflows

analytical

Identify high-impact opportunities for improvement in customer systems and workflows

analytical

Prototype prompts, agents, and workflow designs to evaluate system behavior

technical

Iterate on prompts, agents, and workflow designs to refine system behavior and unlock customer value

technical

Debug customer workflows and technical integrations to resolve issues

technical

Synthesize real usage patterns and deliver actionable feedback to Product and Research teams

analytical

Convert real usage patterns into clear, reproducible evaluations, benchmarks, and technical artifacts

analytical

Build repeatable tools, patterns, and evaluation approaches across multiple use cases

technical

Help startup customers optimize their systems to improve performance and reliability

technical

Design evaluations to measure model behavior in complex workflows

analytical

Human-Only (7)

Requires human judgment

Collaborate with frontier startup teams to support deployment of OpenAI technology

operational

Advise startups to ensure OpenAI technology is deployed safely and effectively

leadership

Work directly with strategic startup customers to understand critical workflows

communication

Ensure customer-grounded learnings influence product roadmaps and model development

leadership

Turn customer learnings into durable improvements across OpenAI research and products

leadership

Collaborate across research and product teams to implement system improvements

operational

Build relationships within the startup ecosystem and serve as a technical partner to individual customers and the broader community

leadership

Job description

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/ai-deployment-engineer-startups-sydney-australia/) --- Skip to main contentResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Log inTry ChatGPT(opens in a new window)ResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)AI Deployment Engineer, Startups | OpenAICareersAI Deployment Engineer, StartupsTechnical Success - Sydney, AustraliaApply now(opens in a new window)About the teamThe 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 roleWe 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.This role is based in our Sydney office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will: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 that improve model and product quality and ensure customer-grounded learnings influence roadmap and model development.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.You’ll thrive in this role if you:Have strong software engineering & AI fundamentals. For example, experience as a software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.Have familiarity with, or interest in, model training pipelines and reinforcement learning.Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.Can move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration.Communicate clearly across technical and non-technical audiences.Bring high agency, strong product sense, and a
Source: OpenAI careers · scraped 2026-05-22
Apply at OpenAI