OpenAI
Full Stack Software Engineer, ChatGPT Finances
About this role
Join OpenAI's ChatGPT Finances team to build full-stack features that help users connect financial accounts, visualize their finances, and ask AI-powered questions about their money. You'll own products end-to-end—from polished frontend interfaces to backend services, data models, and AI integration—while working across product, design, security, and infrastructure teams.
What you'll do
- Own full-stack product features from frontend implementation through backend APIs, data models, and deployment
- Build accessible interfaces for account connection, dashboards, insights, and conversational workflows
- Design and maintain backend systems for safe ingestion, normalization, and serving of financial data
- Create resilient integrations handling data synchronization, freshness, permissions, and user consent
- Integrate new AI capabilities into production with emphasis on accuracy, transparency, and user control
- Establish architecture, testing practices, and operational safeguards for a growing product area
What they're looking for
- Full-stack product development (frontend and backend)
- Modern frontend frameworks (React/TypeScript, Swift, or Kotlin)
- Backend languages (Python, Go, Node.js, or similar)
- API design and data modeling
- System reliability and production operations
- Privacy, security, and sensitive data handling
- Product metrics, experimentation, and user-centric thinking
- AI-native interfaces and conversational systems
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through a full-stack feature you shipped end-to-end—from frontend to backend to production. What were the biggest challenges and how did you handle them?
- Tell us about a time you had to design an API or data model for a sensitive or complex domain. How did you think through reliability, data integrity, and user trust?