Senior AI Applied Software Engineer (Backend)

Backbase

Kraków

On-site

PLN 210,000 - 320,000

Full time

14 days+

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Job summary

Backbase is seeking a Senior AI Applied Software Engineer to join the Onboarding & Origination value stream in the R&D department. You will design and build scalable systems for customer onboarding in banking, influencing millions of users across many institutions.

You will lead SDLC ownership, mentor engineers, and push forward AI-powered features leveraging OpenAI and ML models, with a strong emphasis on security, performance, and reliability.

Qualifications

  • 5–7+ years of professional experience building complex, high-traffic products.
  • Proficient in Java, Spring JPA/Hibernate, and Maven.
  • Experience with Microservices and Cloud technologies.

Responsibilities

  • Design and deliver complex features across backend and frontend.
  • Own the full SDLC from idea to release and maintenance.
  • Improve architecture and API/microservice integration.
  • Mentor juniors and perform code reviews.
  • Contribute to AI features using OpenAI and ML models.
  • Maintain security, scalability, and performance.

Skills

Java
Spring Framework
Microservices
Cloud technologies
Angular
TypeScript
RxJS
REST APIs
CI/CD
English communication

Tools

Maven
JPA/Hibernate
Webpack
Jenkins

Job description

At Backbase, we don’t just deliver software – we redefine how people manage their finances. We are looking for a Senior AI Applied Software Engineer to join the Onboarding & Origination value stream within the R&D department. You will focus on creating innovative, efficient, and adaptive solutions that streamline operations, enhance compliance, and drive superior performance for financial institutions. You will be working on building the customer experience path of exploring banking products and banking products management.

By joining our team, you won’t just write code; you will design systems that impact millions of users across over 100 financial institutions worldwide.

What you\'ll do
  • As a Senior AI Applied Software Engineer you are a technical cornerstone of your squad. You will design and deliver complex features with minimal guidance, ensuring that both the "engine" (Backend) and the "experience" (Frontend) are performant, secure, and scalable. Full SDLC Ownership: Lead the entire lifecycle of digital banking products from initial idea and architectural design to release and maintenance. Architectural Excellence: Improve system architecture and design components that integrate smoothly across APIs and microservices. Technical Leadership: Act as a go-to resource for your team, mentoring junior engineers, conducting critical code reviews, and raising the bar for engineering standards. AI & Innovation: Contribute to the evolution of LLM-based voice assistants and real-time personalization engines using OpenAI and ML models. Security-First Mindset: Implement services with a focus on non-functional requirements like security, scalability, and resilience. Collaborative Culture: Work in a Pod based model, collaborating with Architects, Product Owners, and UX Designers to align technical solutions with business needs.
Who you are

Location: You live in Krak\u00f3w or nearby area and you are willing to work in a hybrid mode - twice per week from our office.

Experience: You have 5–7+ years of professional experience building complex, high-traffic products.

Backend Mastery: Solid understanding of Java, Spring JPA/Hibernate, and Maven. Experience with Microservices (Netflix OSS is a plus) and Cloud technologies.

Frontend Expertise: Experience in Angular and TypeScript, working with RxJS and modern build systems (Webpack, Jenkins) or Vue.js is a plus.

System Design: You have a solid grasp of Enterprise Integration Patterns and can design systems that handle complex data flows between services.

The "Senior" Edge: You don\'t just solve tickets; you identify gaps in tooling, reduce technical debt, and optimize CI/CD pipelines to streamline delivery.

Communication: Excellent English (spoken and written). You can confidently explain technical concepts to non-technical stakeholders and get buy-in for your architectural decisions.

Domain Knowledge: Previous experience in Fintech or Banking is highly considered an advantage.

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