Principal UI Software Engineer (AI and Time Series Data Specialist)

Responsibilities

• Lead the development of complex software systems in the area of AI and Timeseries Data.
• Collaborate with product managers, designers, and other stakeholders to define detailed project requirements and deliverables.
• Provide technical leadership and mentorship to software engineering teams on AI and Timeseries Practices.
• Ensure the quality and performance of software through code reviews, testing, and best practices.
• Stay updated with the latest industry trends and technologies in AI and large volume timeseries data to drive innovation.
• Troubleshoot and resolve technical issues in a timely manner.
• Role Summary
• Experience in AI-enabled products and time-series/data-driven platforms is beneficial.
• Frontend / UI Engineering (Primary Focus)
• Design, develop, and maintain advanced Angular applications for enterprise-scale products.
• Build responsive, intuitive, and high-performing user interfaces for complex workflows and data-heavy applications.
• Translate product, UX, and technical requirements into clean, reusable, and maintainable frontend architecture.
• Develop modular Angular components, services, and shared libraries with strong separation of concerns.
• Implement sophisticated UI behaviour including dynamic layouts, real-time updates, visualisations, dashboards, and complex data interaction patterns.
• Optimise frontend performance, load times, rendering efficiency, and runtime responsiveness.
• Ensure high standards of accessibility, usability, consistency, and cross-browser compatibility.
• Contribute to frontend architectural decisions, coding standards, and engineering best practices.
• Work closely with product managers, UX designers, and backend engineers to deliver end-to-end capabilities.
• Lead or influence UI modernization efforts and promote engineering excellence in frontend development.
• Backend Engineering
• Develop and maintain backend required services and APIs using C# / .NET.
• Support frontend requirements through well-designed service integrations and API contracts.
• Contribute to application logic, data access layers, service orchestration, and integration components.
• Collaborate on system design to ensure clean interaction between frontend and backend layers.
• Participate in debugging, troubleshooting, and improving full-stack application performance.
• Domain Context (AI / Time-Series)
• Work on applications where AI-driven functionality and time-series or data-intensive workflows may be part of the broader solution landscape.
• Collaborate with domain experts and platform teams to integrate data-driven or analytical capabilities into the user experience.
• Develop UI and application features that support data exploration, monitoring, operational workflows, or intelligent insights.
• Gain familiarity with AI and time-series concepts as needed for product delivery; deep prior specialisation is not essential.

Additional Information

As a Principal Software Engineer, you will be responsible for leading the development, and implementation of complex, high-quality software solutions with embedded AI with large volumes of Timeseries Data. You will work closely with cross-functional teams to ensure the delivery of robust and scalable applications. Your expertise will be crucial in guiding the technical direction of projects and mentoring junior engineers.

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Company Intel

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