Software Engineer, Full Stack
Rad AI125,000 - 150,000 USD/year
- Full Time
- Junior (1 to 2 years)
$325,000 – $490,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Cloud ComputingIndustries
Requirements
Candidates should possess significant experience in full-stack development, demonstrating expertise in modern frontend frameworks such as React, Vue, or Angular, and backend technologies including Python, Go, or Node.js. They should have experience in building scalable, high-performance web applications for complex distributed systems, along with a strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure, particularly Azure.
Responsibilities
The Full Stack Engineer will design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time, collaborating closely with researchers and infrastructure teams to translate operational needs into intuitive UIs and scalable backends. They will build data visualization tools, optimize backend services for massive data throughput and low-latency performance, and implement frontend components for seamless interactions with scheduling, storage, and compute systems, ensuring system security, reliability, and scalability across globally distributed supercomputing infrastructure.
Skills
React
Vue
Angular
Python
Go
Node.js
RESTful APIs
GraphQL APIs
Distributed Databases
Azure
Scalability
Performance
Data Visualization
Gantt charts
Dashboards
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