AI Deployment Engineer, Startups

About the Role

The AI Deployment Engineering team at Openai is dedicated to ensuring that the company's technology is deployed safely and effectively. As a member of this team, you will have the opportunity to work with some of the most exciting startups in the world, helping them to unlock the full potential of AI. Your work will have a direct impact on the development of Openai's products and research, and you will be instrumental in shaping the company's approach to AI deployment.

Openai is committed to creating a workplace where talented individuals can thrive. The company values diversity, inclusivity, and collaboration, and is dedicated to fostering a culture of innovation and experimentation. As an AI Deployment Engineer, you will be part of a dynamic team that is pushing the boundaries of what is possible with AI.

What You Will Do

• Work directly with strategic startup customers to understand their critical workflows, identify areas for improvement, and develop tailored solutions to enhance their AI capabilities
• 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 evaluations, benchmarks, and technical artifacts that improve model and product quality
• 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
• Collaborate with cross-functional teams, including engineering, research, and product, to develop and implement AI solutions that meet customer needs
• Develop and maintain technical documentation, including architecture diagrams, technical specifications, and user guides
• Participate in code reviews, ensuring that all code meets the company's high standards for quality, security, and scalability

What We Are Looking For

• Strong software engineering and AI fundamentals, with experience in languages such as Python, Java, or C++
• Experience working with AI systems, including machine learning, deep learning, and natural language processing
• Familiarity with model training pipelines and reinforcement learning
• Experience building AI applications, agents, or evaluation systems, and the ability to reason clearly about model behavior in complex workflows
• Comfort working directly with highly technical users and translating their challenges into concrete technical signals
• Ability to move fluidly between prototyping, debugging, evaluation design, and cross-functional collaboration
• Strong communication skills, with the ability to communicate clearly and effectively with both technical and non-technical audiences
• Experience working in a fast-paced, dynamic environment, with a proven ability to adapt to changing priorities and deadlines
• Strong product sense, with a bias toward building durable improvements rather than one-off fixes

Nice to Have

• Experience as a technical founder, or engineer at an early-stage startup
• Familiarity with cloud-based technologies, such as AWS or Google Cloud
• Experience with containerization, using tools such as Docker or Kubernetes
• Knowledge of agile development methodologies, such as Scrum or Kanban

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health insurance, including medical, dental, and vision
• Generous PTO policy, with flexible work arrangements to support work-life balance
• Access to cutting-edge technologies and tools, including AI and machine learning platforms
• Opportunity to work with a talented team of engineers, researchers, and product managers
• Professional development opportunities, including training, mentorship, and conference sponsorship
• Remote work stipend, to support employees in their home offices or co-working spaces
• Access to a global network of professionals, with opportunities for collaboration and knowledge sharing

• To stand out as an applicant, be prepared to showcase your technical expertise in AI deployment, including your experience with machine learning, deep learning, and natural language processing.
• Develop a strong understanding of the startup ecosystem, including the challenges and opportunities faced by early-stage companies.
• Build a portfolio of your work, including examples of AI systems you have developed, deployed, or improved.
• Practice your communication skills, including your ability to explain complex technical concepts to non-technical audiences.
• Be prepared to discuss your experience working in collaborative environments, including your ability to work with cross-functional teams and communicate effectively with stakeholders.
• Research Openai's products and research, and be prepared to discuss how your skills and experience align with the company's mission and goals.