Staff Full Stack Engineer

About the role

At Webai, we are seeking a talented Staff Full Stack Engineer to join our team in Austin, TX. This position is centered around developing high-performance web and desktop applications that support distributed AI infrastructure. You will be instrumental in crafting software that is not only scalable but also maintainable, with a focus on real-time communication capabilities. In this role, you will have the opportunity to work on core products while applying AI-native engineering principles and mentoring fellow engineers to elevate their skills.

Key facts

What you'll do

• Collaborate closely with product managers, designers, and fellow engineers to transform business requirements into functional software solutions.
• Design, develop, and maintain both web and desktop applications that meet high-performance standards.
• Set up and manage CI/CD pipelines using GitLab to facilitate automated testing and deployment processes.
• Write high-quality, clean, and scalable code that adheres to industry best practices.
• Engage in code reviews to enhance code quality and share knowledge within the team.
• Diagnose and resolve issues in both production and non-production environments effectively.
• Keep abreast of emerging technologies and propose architectural enhancements to improve system performance.
• Develop sophisticated state management solutions tailored for large-scale applications.
• Establish efficient workflows for data processing, caching mechanisms, and real-time data updates.
• Provide mentorship to junior engineers, sharing insights on best practices, system architecture, and performance optimization.
• Lead discussions on architectural strategies and contribute to the formulation of long-term technical roadmaps.

Requirements

• A minimum of 7 years of professional experience in developing applications using JavaScript or TypeScript.
• Proven track record of building scalable applications that can handle significant user loads.
• In-depth knowledge of HTML, CSS, SCSS, and TypeScript, with a strong focus on front-end development.
• Familiarity with real-time communication protocols, such as WebSockets or MQTT, to enable data exchange.
• Strong skills in unit testing and end-to-end testing frameworks, particularly Cypress.
• Experience working with both relational and non-relational databases to manage application data effectively.
• Proficient in implementing CI/CD pipelines utilizing GitLab and other DevOps tools to streamline development processes.
• Excellent problem-solving abilities and a knack for troubleshooting complex issues.
• Strong communication skills and the ability to work collaboratively within a team environment.
• Extensive knowledge of state management patterns and libraries, such as Redux or Zustand, with experience optimizing intricate UI interactions.
• Experience in designing and executing scalable data fetching, caching, and synchronization strategies.
• Demonstrated leadership in driving technical initiatives and promoting engineering best practices within the team.

Nice to have

• Familiarity with Rust and Python for backend integration tasks would be advantageous.
• Experience with cloud platforms and services for deploying applications.
• Knowledge of containerization technologies like Docker.

Skills & tools

• JavaScript
• TypeScript
• HTML
• CSS
• SCSS
• React
• Tauri
• WebSockets
• MQTT
• Cypress
• GitLab
• Redux
• Zustand
• Rust (a plus)
• Python (a plus)

Practical notes

The benefits outlined are generally applicable to employees based in the United States. For those hired outside of the U.S., benefits may differ based on local laws and specific country requirements. We encourage all qualified candidates to apply, regardless of their location, as we value diverse perspectives and experiences.

About the company

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation.