Job Description
Group 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
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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.