Full Stack Software Engineer, ChatGPT ImageGen

OpenAI•San Francisco, CA

1d•$185,000 - $385,000

About The Position

The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent breakthroughs in multimodal AI have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering. We're building the systems and experiences that turn these research advances into products used daily by creators, professionals, businesses, and consumers around the world. Our team sits at the intersection of research, product, design, and infrastructure. We work closely with model researchers, mobile engineers, frontend engineers, and platform teams to build intuitive experiences and scalable systems that power image generation at global scale. Whether users are creating marketing assets, visualizing ideas, editing photos, designing products, or simply exploring their creativity, our goal is to make visual creation feel as natural as having a conversation. We are looking for an experienced Full Stack Engineer to join the Image Generation team and help shape the future of AI-powered visual creation. In this role, you'll own features end-to-end across both frontend and backend systems, building the experiences that enable users to generate, edit, organize, and interact with images inside ChatGPT. You'll work across the entire stack—from highly interactive user interfaces and real-time workflows to backend services, APIs, orchestration systems, and data infrastructure. This role is ideal for engineers who enjoy moving fluidly between product development and systems engineering, collaborating closely with design, product, and research teams to rapidly bring new AI capabilities to users. You'll help define entirely new interaction paradigms as multimodal AI continues to evolve.

Requirements

Have experience building and shipping production-grade applications across both frontend and backend systems.
Are comfortable working with modern web technologies such as React, TypeScript, and contemporary frontend frameworks.
Have experience building scalable backend services, APIs, and distributed systems.
Enjoy owning products end-to-end and can seamlessly move between user experience challenges and infrastructure decisions.
Have strong product instincts and enjoy thinking deeply about how users interact with technology.
Are highly analytical and comfortable using experimentation, metrics, and user feedback to drive decision-making.
Thrive in fast-moving environments where priorities evolve quickly and new opportunities emerge constantly.
Enjoy collaborating with cross-functional partners including researchers, designers, product managers, and data scientists.
Are excited by multimodal AI and motivated by the opportunity to define entirely new ways for people to create and communicate visually.

Nice To Haves

Have experience with media platforms, creative tools, image processing, content creation products, or AI-powered applications

Responsibilities

Design, build, and launch end-to-end product experiences for image generation and image editing within ChatGPT.
Develop highly interactive frontend experiences that make sophisticated AI capabilities feel intuitive, fast, and delightful.
Build scalable backend services, APIs, and workflows that power image creation, editing, storage, sharing, and retrieval.
Partner closely with researchers to rapidly prototype and productionize new multimodal capabilities.
Collaborate with Product, Design, Data Science, and Engineering teams to identify high-impact opportunities and execute against them.
Own projects from concept through launch, including technical design, implementation, experimentation, measurement, and iteration.
Optimize performance across the stack, from frontend responsiveness and rendering to backend latency, reliability, and scalability.
Design systems that can support millions of users generating and interacting with visual content simultaneously.
Leverage experimentation and user insights to improve engagement, usability, quality, and product outcomes.
Contribute to engineering best practices around architecture, testing, observability, developer productivity, and operational excellence.
Help define the future roadmap for AI-powered creative tools and visual experiences.