TMC Middle East
Front-End Engineer / Full Stack
Skills
2 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Abu Dhabi - United Arab Emirates
Work mode:
Onsite
Published on:
19 October 2026
What they need
Position Summary
As a Front-End / Full Stack Engineer, you will build the responsive, high-performance interfaces that bring AI insights to life — including real-time dashboards for video analytics.
You will work across the stack, collaborating with designers and backend engineers to deliver intuitive, scalable applications.
Responsibilities :
- Develop and maintain web applications using the Angular framework, ensuring high performance and scalability.
- Build real-time dashboards for video analytics, integrating WebSockets for live feeds and events.
- Collaborate with designers, product managers, and backend developers to implement responsive, efficient, visually appealing interfaces.
- Transform UX/UI mockups and wireframes into functional interfaces and visualise AI insights (alerts, tracking).
- Integrate front-end components with backend services and APIs; manage application state.
- Adhere to best practices, including coding standards, code reviews, and automated testing.
- Optimise application performance and ensure seamless experiences across devices and browsers.
- Participate in the full software-development lifecycle, from planning and design through to deployment.
Qualifications :
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5 – 9 years of relevant experience as an Angular front-end / full-stack engineer.
- Strong proficiency in Angular (v2+), HTML5, CSS3, and JavaScript / TypeScript.
- Experience with state-management libraries such as RxJS, NgRx, or Redux.
- Solid understanding of RESTful APIs and integration with backend services.
- Familiarity with version control, preferably Git.
- Responsive design and cross-browser compatibility; basic backend / API understanding.
- Excellent problem-solving skills and attention to detail.
Preferred Skills :
- Experience with AI or machine-learning technologies.
- Knowledge of agile development methodologies.
- Familiarity with cloud platforms such as AWS or Azure.
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