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OpenAI

Ai Deployment Engineer Startups Singapore

Classified Tasks (19)

Automate 0%Augment 74%Human-Only 26%

Augment (14)

AI assists, human decides

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

technical

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

analytical

Uncover and document failure modes in customer workflows and systems.

analytical

Identify high-impact opportunities for improvement in customer deployments.

analytical

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

technical

Debug customer workflows and production systems to resolve technical issues.

technical

Design reproducible evaluations and benchmarks for model and product quality.

analytical

Synthesize real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts.

analytical

Deliver synthesized feedback and technical artifacts to Product and Research teams.

communication

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

technical

Create technical presentations, demos, and other community engagement materials for developers and startups.

communication

Collaborate across research and product teams to help shape research and product direction based on customer-grounded learnings.

leadership

Turn identified gaps in customer workflows into reproducible evaluations and technical insights that influence roadmap and model development.

analytical

Help startups optimize their systems for improved performance and durability.

technical

Human-Only (5)

Requires human judgment

Advise startup customers on safe and effective deployment of OpenAI’s technology.

communication

Work directly with strategic startup customers to understand and map critical workflows.

operational

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

leadership

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

communication

Present high-level technical trends and detailed technical guidance to developer and startup audiences.

communication

Job description

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/ai-deployment-engineer-startups-singapore/) --- 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 - SingaporeApply now(opens in a new window)AI Deployment Engineer, StartupsAbout 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 in particular will include a specific focus on building relationships with the startup ecosystem, including presenting to developer and startup audiences. You’ll require strong one to many communication skills, and should enjoy discussing high level technical trends alongside the deeper technical engagements with specific startups.This role is based in our Singapore 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.Create technical presentations, demos, and other forms of community engagement with top developers and startups around the region.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 reinforc
Source: OpenAI careers · scraped 2026-05-22
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