AI Engineer
Join a leading international bank in Vienna and help shape the digital future of the financial industry in Central and Eastern Europe!
About the job
We are a dynamic team of AI & data specialists in the Corporate & Investment banking (CIB) area of RBI, and we’re looking for an ambitious AI Engineer who prioritizes impact and business outcomes by developing AI solutions deeply integrated into the core of our CIB operations. With your expertise, we aim to take the next step in bringing AI solutions closer to our clients, creating seamless and secure banking experiences.
If you’re driven to create change, we’re excited to hear from you!
The core facts
- Collaborate closely with business units to redesign and transform core processes within the CIB area, leveraging modern AI frameworks and AI Agents with a clear, holistic, end-to-end process perspective
- Develop and implement enterprise-grade AI software products (e.g., API solutions) following a strict governance framework, with a focus on scalability, low-latency performance and business usability
- In a business-embedded approach, work closely with CIB specialists to understand business processes, data and daily challenges, unlocking the full potential of AI-driven innovation
- Shape innovative agentic AI banking solutions and co-create the operational governance framework of AI solutions
Your core competences
- Consider yourself a “Product Engineer” rather than a “Service Engineer” with several years of experience in software development or AI/ML engineering
- Strong software development and DevOPS foundation with programming expertise in Python, Spark, or Scala
- Experience with Databricks, Azure or AWS; hands-on management of CI/CD pipelines and testing (unit and integration tests)
- Knowledge of software security concepts, such as penetration testing and OWASP principles
- Experience with AI frameworks (e.g., LangChain, LangGraph, Autogen) and a strong understanding of product development using AI tools (LLMs and Agents), along with familiarity in MLOps and DataOps best practices; knowledge of data science concepts and machine learning is preferred
- Highly motivated, proactive and analytical, with effective communication skills to collaborate effectively with diverse stakeholders
- Ability to adapt quickly in agile teams and complex organizational environments
Our culture and benefits
There are a bunch of good reasons why you should join our team.
The application process
Find the position you like and apply – become part of our amazing team.
Apply online
We will carefully review your CV and give you the feedback about next recruitment steps.
Screening call with HR (20-30min)
During the short call, we will give you more details according to the company and role and ask you a few questions related to your experience and expectations.
Interview (60 min)
Depending on the role, it could be one or two interviews. Online meeting is an opportunity to see if there is a match between us. We would like to know you better, understand what you bring to the team from technical and soft skills' perspective. You can meet your future colleagues from IT and HR team, get more information about the role, ask questions and have a flavour of our culture and atmosphere.
Online Technical Test-optional (60-90min)
Sometimes our recruitment process requires an additional step. You will receive a link to the online technical test.
Offer
We will make you an offer and in case you accept it will start planning your onboarding.
Welcome aboard!
If you accept our offer we will invite you to sign the contract. Your comfortable entrance to our company will be supported by a dedicated buddy.