Nuvepro - Task Intelligence for the Enterprise
OpenAI

Ai Deployment Engineer Startups Paris France

Classified Tasks (25)

Automate 0%Augment 60%Human-Only 40%

Augment (15)

AI assists, human decides

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

technical

Translate complex, high-value use cases into clear signals that inform product and system improvements.

analytical

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

operational

Uncover and document failure modes within customer workflows.

analytical

Identify high-impact opportunities for system and workflow improvement.

analytical

Prototype prompts, agents, and end-to-end workflow designs for customer applications.

technical

Iterate on prompts, agents, and workflow designs to analyze system behavior and increase customer value.

technical

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

analytical

Create reproducible evaluations, benchmarks, and technical artifacts from customer data and usage.

technical

Improve model and product quality by translating customer learnings into technical evaluations and fixes.

technical

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

technical

Help startup customers optimize their internal systems and integrations with OpenAI technology.

technical

Transform identified workflow gaps into reproducible evaluations and technical insights.

technical

Debug customer workflows and production systems to resolve issues and improve reliability.

technical

Design and implement evaluation strategies to assess model behavior in real-world workflows.

technical

Human-Only (10)

Requires human judgment

Advise frontier startups on deploying OpenAI technology safely and effectively.

leadership

Act as a thought partner to startup teams to translate customer needs into technical direction.

leadership

Ensure customer-grounded learnings inform roadmap decisions and model development.

leadership

Balance immediate technical problem-solving with designing longer-term system improvements.

leadership

Build and maintain relationships within the startup ecosystem as a technical partner.

leadership

Serve as a technical partner to individual customers and the broader startup community.

leadership

Turn customer learnings into durable improvements across OpenAI research and product teams.

leadership

Partner deeply with customers on complex workflows to identify and prioritize gaps.

operational

Shape OpenAI's research and product direction by delivering technical insights derived from customer work.

leadership

Collaborate cross-functionally with research and product teams to implement solutions derived from customer engagements.

communication

Job description

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/ai-deployment-engineer-startups-paris-france/) --- 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 - StartupsGo To Market - Paris, FranceApply 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.This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. We require fluency in French for this role. 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.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 startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end-to-end is a strong plus.Have experience as a technical founder, or engineer at an early stage startupHave 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 clea
Source: OpenAI careers · scraped 2026-05-22
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