AI Tutor - Software Engineering Specialist
xAI · Remote · Software Engineering
About this role
xAI is hiring a mid-level Backend Engineer in the software engineering function as a remote position. The posting calls out experience with Docker, API Development, Testing, Performance Optimization. Compensation is listed at $124,800–$208,000 per year.
- Role
- Backend Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Remote
- Work mode
- Remote
- Department
- Software Engineering
More roles at xAI
Job description
from xAI careersABOUT xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
- Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages.
- Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.
BASIC QUALIFICATIONS:
- Professional software engineering experience building scalable, high-performance applications.
- Deep expertise in one or more programming languages.
- Strong proficiency in relevant frameworks and libraries.
- Solid understanding of software design principles, performance optimization, and best practices.