AI Deployment Engineer - Startups

OpenAI
Paris
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Communication","Collaboration","Analytical thinking"]

Technically proficient, product-minded engineer working with OpenAI’s frontier startup customers to optimize their systems, design reproducible evaluations, and translate real usage into actionable insights that improve model quality and product direction. The role blends debugging workflows, prototyping prompts and agents, and cross-functional collaboration to raise the bar across multiple use cases.

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FursaFursa
OpenAI
OpenAI
2 months ago

AI Deployment Engineer - Startups

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Technically proficient, product-minded engineer working with OpenAI’s frontier startup customers to optimize their systems, design reproducible evaluations, and translate real usage into actionable insights that improve model quality and product direction. The role blends debugging workflows, prototyping prompts and agents, and cross-functional collaboration to raise the bar across multiple use cases.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

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 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.

Key Requirements

  • •Strong software engineering and AI fundamentals, with experience shipping production systems end-to-end.
  • •Experience as a technical founder or engineer at an early-stage startup.
  • •Familiarity with model training pipelines and reinforcement learning.
  • •Experience building AI applications, agents, or evaluation systems, and ability to reason about model behavior in complex workflows.
  • •Ability to translate technical challenges into concrete signals and communicate with both technical and non-technical audiences.
Experience:AIStartup
Skills:Problem-solvingCommunicationCollaborationAnalytical thinking
Languages:French
Tech Stack:PythonMachine learningReinforcement learningPromptsAgentsEvaluation systems

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor