Applied AI Software Engineer (Web)

Backbase
Madrid, Spain
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Compensation
€45,000.0 - €65,000.0
Working hours
Regular working hours
Languages
English

Tech stack

Web Accessibility Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Continuous Integration Cursor (Graphical User Interface Elements) Scrum Methodology Software Engineering Systems Integration TypeScript Web Engineering RxJS
+9 more
GitHub Copilot Large Language Models Backend AngularJS Integration Tests Web Technologies Front End Software Development Restful APIs Microservices

Job description

  • 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.

Requirements

  • Experience: Minimum 2+ years of professional software engineering experience with a strong focus on modern web technologies.
  • 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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