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Software & AI Engineer

Open 29d

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.


Your career opportunity

We are looking for an experienced Software & AI Engineer to join our CTO Data Tech team. In this role, you will be contributing toward full-stack software development with Python and ReactJS stack. Additionally, you will be exposed to Cloud Engineering within GCP and AI/ML implementation. You will be developing corporate wide applications within the area of Data Management technologies.

What we offer

The pay range for this role is 15025 PLN - 22533 PLN (monthly, gross).

Variable pay is discretionary, but influenced by Group performance, business/function performance and individual performance.

We offer a comprehensive and competitive package of benefits covering healthcare, family friendly leaves, pension and life assurance, as well as many other benefits to support your wellbeing.


  • Additional bonuses for recognition awards
  • Multisport card
  • Private medical care
  • Life insurance
  • One-time reimbursement of home office set-up (up to 800 PLN).
  • Cafeteria platform
  • Employee assistance program
  • Additional contributions to PPK scheme
  • Corporate parties & events
  • CSR initiatives
  • Nursery discounts
  • Financial support with trainings and education
  • Social fund
  • Flexible working hours
  • Free parking


What you need to have to succeed in this role

  • 3+ years of relevant technical experience in enterprise software development.
  • Write good quality code and automated Test cases
  • Proficiency in Python for backend development (Flask, FastAPI, Django) and experience in React JS with modern JavaScript/TypeScript for frontend.
  • Proven experience deploying enterprise solutions on GCP including services like Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, and Vertex AI.
  • Good hands-on experience implementing AI/ML solutions.
  • Understanding of microservices architecture, RESTful APIs, event-driven systems, and experience with both SQL and NoSQL databases.
  • Understanding of software design principles, design patterns, enterprise architecture, and cloud-native application best practices.
  • Experience with agile methodologies and DevOps practices.

See also

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