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GenAI ML Engineer
Raiffeisen Tech

GenAI ML Engineer

Raiffeisen Tech
Type of work
Employment Type
Permanent, B2B
Operating mode

Tech stack


Job description

GenAI Machine Learning Engineer (m/f/x)

Raiffeisen Tech is a platform that brings together IT talents from different countries. It consists of a Tech Hub in Poland and a Tech Hub in Romania and Kosovo (to be built soon).

Our task is to create and develop banking applications that make life easier for more than 16 million customers of our group banks in 14 countries!

Raiffeisen Tech Polska is part of Raiffeisen Bank International AG (Spółka Akcyjna), Branch in Poland. However, we have been on the market for five years. You may have known us as MIT GDC.

TODAY at Raiffeisen Tech we are creating the financial industry of the FUTURE.

Home (

Make technology Happen!

About the job

Do you want to combine the enthusiasm and flexibility of a start-up with the solid background of an established bank? Are you passionate about applying creative approaches and techniques with data, which plays the most important role in a modern bank? Are you ready to shape the future of the financial industry within Central and Eastern Europe? Then you are the right person for our team!

Are you a Machine Learning Engineer with a deep interest in cutting edge AI, large language models, software development best-practices and Machine Learning operations? We’re on the lookout for a GenAI Machine Learning Engineer to join our tech team in Poland.

The core facts

  • Design and implement generative AI applications, focusing on robustness, scalability, and front-end integration.
  • Work within an agile team to identify, prioritize, and integrate software features with the goal of achieving customer satisfaction.
  • Help ensuring high reliability and performance of the software with MLOps best-practices.
  • Drive continuous improvement in performance, architecture, and design.
  • Monitor, maintain and update workflows and software packages, incorporating new technologies and methodologies.

Your core competencies

  • Experience with coding in python and software design. Familiarity with concepts like OOP (Object Oriented Programming), functional programming and microservices, etc. Familiarity with distributed computing and MLOps.
  • Experience with cloud platforms and bringing models to production.
  • Experience with Python project and environment management tools such as poetry, cookiecutter or cruft.
  • Hands on experience with DataBrics.
  • Deep understanding of end-to-end product ownership, along with a keen sense for robust system design and product usability.
  • Experience in generative AI application development, ideally with familiarity in LLM-specific packages such as LangChain and Llama-Index.
  • Familiar with API integration and development and deployment technologies like fastAPI.
  • Proficiency with various testing frameworks and a commitment to maintaining high code quality.
  • Exceptional problem-solving skills and strong teamwork skills in a fast-paced environment.
  • Fluent English.
  • The role is based in Poland. We are not supporting relocation or visa/work permit.

Your Profit


  • Private Medical Care for you and your loved ones
  • Life Assurance
  • Recognition Program
  • Reimbursement for costs of eyeglasses (every 2 years)
  • Free parking (for cars/ bikes)
  • Paid Recommendation Program


  • Cafeteria MyBenefit – sport card or vouchers/cinema tickets etc.
  • Company events
  • Inspiratorium - meetings with inspiring people
  • Social fund (sport sections, guided walks in Warsaw, massages in the office, trips, and much more)
  • Flexible working hours
  • Agile way of work
  • Wellbeing platform
  • Hybrid cooperation you can work form our Warsaw office or more remotely (first day from our office in Warsaw, some trips to Austria, onboarding from Austria)
  • Workation
  • Sabbatical


  • Access to e-learning courses
  • Language learning
  • Training budget
  • Udemy
  • Opportunity to develop in an international financial institution in an international project