Backend Engineer for Public Sector AI Platform

OpenAI; San Francisco (CA); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

OpenAI is seeking a Software Engineer to deploy cutting-edge AI capabilities for public sector customers, across on-premises and cloud environments. You will work with product, security, compliance, and research teams to iterate on models and features, delivering scalable, reliable solutions for critical deployments.

You will engage with users to understand problems, design practical solutions, and drive speed and scale across a nimble engineering stack.

Qualifikationen

• 9+ years of engineering experience at tech or product-driven companies.
• Proficiency with JavaScript, React, and Python.
• Experience with Kubernetes and Terraform.
• Interest in AI/ML and public sector use cases.
• Ability to move fast in loosely defined environments with competing priorities.
• Excellent cross-functional collaboration skills.

Aufgaben

• Own end-to-end development of new customer-facing ChatGPT and OpenAI API features, on-premises and in the cloud, for public sector customers.
• Partner with engineering, security, and compliance to enable product deployment in new environments.
• Talk to users to understand problems and design solutions to address them.
• Iterate with the research team on models and data layers for public sector customers.
• Collaborate with cross-functional teams to create cutting-edge products.
• Optimize applications for speed and scale.

Kenntnisse

JavaScript

React

Python

Kubernetes

Terraform

Public sector focus

Tools

Kubernetes

Terraform

Jobbeschreibung

OpenAI is seeking a Software Engineer to deploy cutting-edge AI capabilities for public sector customers, across on-premises and cloud environments. You will work with product, security, compliance, and research teams to iterate on models and features, delivering scalable, reliable solutions for critical deployments.

You will engage with users to understand problems, design practical solutions, and drive speed and scale across a nimble engineering stack.