Software Engineer, Full Stack
Rad AI125,000 - 150,000 USD/year
- Full Time
- Junior (1 to 2 years)
$225,000 – $385,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Government & Public SectorIndustries
Requirements
Candidates should hold an active US security clearance and have 5+ years of relevant engineering experience at tech and product-driven companies. Proficiency with JavaScript, React, and other web technologies is required, along with proficiency in a backend language, preferably Python. Some experience with infrastructure primitives like Kubernetes and Terraform is necessary, and an interest in AI/ML is beneficial, though direct experience is not required. Candidates must also demonstrate the ability to adapt quickly in a dynamic environment with competing priorities.
Responsibilities
The Full-Stack Engineer will own the development of new customer-facing ChatGPT and OpenAI API features end-to-end for public sector customers. They will partner with teams across the business, including engineering, security, and compliance, to enable product functionality within unique constraints. The engineer will engage with users to understand their problems and design appropriate solutions, collaborate with the research team for feedback, and work with a cross-functional team to create cutting-edge products. Additionally, they will optimize applications for speed and scale.
Skills
JavaScript
React
Python
Kubernetes
Terraform
SQL
Problem-Solving
Team Collaboration
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees