About the job
About Our Team
At OpenAI, we are committed to ensuring that Artificial General Intelligence (AGI) benefits all of humanity. Our B2B applications team plays a crucial role in this mission, as we empower businesses, enterprises, and governments to revolutionize their operations, ultimately driving economic growth and enhancing human potential.
We design, develop, and manage innovative products that bridge our groundbreaking research with real-world applications. Our infrastructure powers the OpenAI API and various enterprise solutions, enhancing productivity and efficiency for users globally. Our multidisciplinary teams collaborate in product engineering, backend infrastructure, and safety, ensuring OpenAI’s technology is delivered with utmost reliability, security, and an exceptional user experience.
Your Role
We are seeking talented backend engineers to architect and scale the systems that underpin our developer and enterprise applications. In this role, you will be responsible for building and maintaining the services and infrastructure that drive OpenAI's applications, which include large-scale distributed systems, databases, APIs, and data pipelines. You will work closely with product, research, and infrastructure teams to integrate new AI capabilities into production while ensuring performance, safety, and compliance on a global scale.
Key Responsibilities:
Lead the complete development lifecycle for new platform features and integrations with external systems.
Collaborate with product managers, designers, and external stakeholders to identify challenges and implement innovative solutions.
Partner with the research team to enhance the next generation of AI models.
Your Background:
5+ years of professional software engineering experience in roles at technology or product-focused companies.
Experience as a founder or an early engineer in a startup environment is highly desirable.
Proficient in one or more backend programming languages (e.g., Python, Go, Rust, TypeScript) and have a solid understanding of distributed systems.
Passionate about building infrastructure that can handle billions of requests and manage vast datasets.
Demonstrate a strong commitment to reliability, safety, and performance in production systems.
An interest in AI/ML technologies is a plus, though direct experience is not mandatory.

