Backend Engineer for Scalable AI Finance Platform

Socket.dev; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI is seeking backend engineers to design and scale systems that drive the future of AI in finance. We operate like a startup within OpenAI, joining a small, specialized team that launched ChatGPT for Excel on March 5 as a first step in expanding capabilities.

You will own platform lifecycles, partner with product/design/customers, and help advance model-driven infrastructure. The role emphasizes reliability, safety, and performance in production, with opportunities to work across

Qualifications

• 4+ years of professional engineering experience in relevant roles at tech and product-driven companies.
• Former founder, or early engineer at a startup who has built a product from scratch is a plus.
• Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts.
• Enjoy building infrastructure that supports billions of requests and petabytes of data.
• Care deeply about reliability, safety, and performance in production environments.
• Interest in AI/ML (direct experience not required)
• Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.

Responsibilities

• Own the end-to-end development lifecycle for new new platform capabilities and integrations with other systems
• Collaborate closely with product, design and external customers to understand problems and implement effective solutions
• Work with the research team to improve our next generation of models

Skills

Python

Go

Rust

Typescript

Distributed systems

Job description

OpenAI is seeking backend engineers to design and scale systems that drive the future of AI in finance. We operate like a startup within OpenAI, joining a small, specialized team that launched ChatGPT for Excel on March 5 as a first step in expanding capabilities.

You will own platform lifecycles, partner with product/design/customers, and help advance model-driven infrastructure. The role emphasizes reliability, safety, and performance in production, with opportunities to work across