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AI Applied Software Engineer at workatbackbase – Madrid | Jobyssey

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AI Applied Software Engineer

AI Applied Software Engineer

workatbackbase · Madrid · Yesterday

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Category: Software engineering
Experience: 2+ years

accessibility agentic-ai agile ai angular api ci-cd css github github-copilot html javascript llm microservices

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Build AI-augmented web apps for digital banking and wealth platforms using Angular, TypeScript, and AI coding tools to accelerate development and testing.

The job in short

We are transitioning away from siloed engineering roles toward T-shaped, AI-empowered web developers. As an Applied AI Software Engineer (Web), you will build user-centric web applications and banking solutions while utilizing AI-driven tools and agentic workflows to accelerate code delivery, testing, and system integrations.

Meet the job

AI-Enabled Web Delivery: Actively leverage AI coding assistants, LLM workflows, and automated tooling to accelerate feature development across UI, backend services, and APIs.
End-to-End Ownership: Deliver production-ready features for the Backbase Digital Banking and Wealth platforms—from Angular frontend components to backend microservice integrations.
Modern Web Engineering: Write clean, testable, and maintainable TypeScript/Angular code utilizing Nx, RxJS, and the Backbase Design System.
Quality & Performance: Design testable components, run unit/integration test suites, and uphold strict web accessibility (a11y), security, and performance standards.
Agile Collaboration: Work autonomously within a cross-functional Scrum squad (UX, QA, Product Managers) to ship rapid product increments.

How about you

Experience: Minimum 2+ years of professional software engineering experience with a strong focus on modern web technologies.
Tech Stack: Hands-on experience with Angular, TypeScript, JavaScript (ES6+), RxJS, HTML5, and SASS/CSS frameworks. Familiarity with toolchains like Nx, npm, or Webpack is a plus.
AI Exposure: Practical exposure to AI-assisted development tools (e.g., GitHub Copilot, Cursor, LLM-driven testing or refactoring workflows).
Full-Stack Capability: Solid foundational knowledge of backend integrations, REST APIs, microservices, and CI/CD pipelines.
Communication: Excellent written and spoken English, with strong collaboration skills in an agile, multidisciplinary environment.

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