Full-Stack Engineer, Public Sector
Description
Join the engineering teams that bring OpenAI’s ideas safely to the world!!
The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
About the Role
We’re seeking a Full-Stack Engineer who can work across the entire software stack. You’ll join a nimble team where you’ll help drive deployment of OpenAI’s technology into new environments and infrastructure to enable the critical missions in the public sector. This role engages cross-functionally with internal product, security, and compliance teams to build required functionality and ensure we’re delivering a scalable, reliable platform. You’ll interface directly with customers to build the features they need most.
This role is based in Washington D.C. and San Francisco, CA. Occasional travel to customer sites is required for this role.
In this role, you will:
Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers.
Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments.
Talk to users to understand their problems and design solutions to address them
Work with the research team to get relevant feedback and iterate on their latest models
Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products
Optimize applications for speed and scale
Qualifications
Hold an active US security clearance
5+ years of relevant engineering experience at tech and product-driven companies
Proficiency with JavaScript, React, and other web technologies
Proficiency with some backend language (we use Python)
Some experience with underlying infrastructure primitives like Kubernetes and Terraform
Interest in AI/ML (direct experience not required)
Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
An interest in enabling public sector use cases with unique requirements