Principal Frontend Engineer, Group 42 (G42)
Summary
Lead the frontend architecture for an AI-powered data intelligence platform, building scalable dashboards and mentoring engineers while aligning with enterprise AI goals.
# Principal Frontend Engineer, Group 42 (G42)### Job DescriptionGroup 42 (G42) is hiring a Principal Frontend Engineer for its Presight platform to lead the development of AI-powered data intelligence solutions. The role focuses on building scalable frontend systems, enhancing user experience, and delivering high-performance applications. The applicants will train teams while working together with stakeholders to create new solutions for enterprise AI systems.**Job ID:** 1848**Date Posted**: NA**Expiration Date**: NA**Apply**:**Main Duties*** Define frontend architecture and evolve scalable and high-performance technology stack for enterprise applications.* Establish best practices for code quality performance security and accessibility across development lifecycle.* Lead technical discussions and design reviews ensuring alignment with product vision and goals.* Build advanced dashboards and data visualizations for complex analytics-driven user interfaces.* Mentor engineers and collaborate with cross-functional teams to deliver intuitive frontend solutions.**Essential Qualifications*** Bachelor’s degree in Computer Science Engineering Information Technology or a similar field.* Ten years of frontend development experience which includes working in leadership or principal engineering positions.* Possesses in-depth knowledge of JavaScript, TypeScript and the React ecosystem together with its state management components.* Experience in creating frontend systems that can scale while they work to improve performance with massive datasets.* Possesses the skill to present technical information to both stakeholders and different teams within the organization.**Preferred Qualifications*** Experience with the following visualization tools Echarts AgGrid ReactFlow and MonacoEditor because I have worked with these tools.* Deep knowledge about data analytics platforms and their Dashboard systems and their capability to display data in real time.* Experience with development workflows that use AI technology to assist developers in their work through automation and code generation tools.* Developed real-time applications through my expertise in web socket technology and my experience with collaborative application development tools.* Data engineering concepts that include data pipelines and AI model development and Python notebook utilization.Location,