BAWAG Group is the listed holding company of BAWAG P.S.K., which is one of the largest banks in Austria with 4 million customers. As a dynamic employer, we promote talent and drive technological innovations quickly. Flat hierarchies, a flexible working environment and equal opportunities for our employees are particularly important to us.
Role Overview
We are evolving from standard analytics to advanced AI engineering. We are looking for a builder who can navigate the full stack—from engineering backend APIs to designing the front-end interfaces that allow users to interact with complex AI models. You will play a key role in operationalizing our GraphRAG (Retrieval-Augmented Generation) systems, moving from experimental scripts to robust, interactive applications.
* Python (FastAPI): For building high-performance, asynchronous REST APIs to serve our models and graph data.
* GraphRAG & OpenAI: Leveraging generic Graph approaches and Azure OpenAI models for advanced relationship mapping and knowledge retrieval.
* Graph Databases: (e.g., Neo4j, NetworkX, or similar) for storing and traversing complex knowledge structures.
* Application Interface:
* Streamlit: For rapid prototyping and internal testing of algorithms.
* React: (Key Focus) For building the production interface that allows users to visualize, explore, and query our Knowledge Graphs intuitively.
* Data Platform:
* Snowflake: For scalable analytics and structured data storage.
* Orchestration & DevOps:
* Airflow: For orchestrating complex data and AI workflows.
* GitHub & Jenkins: For CI/CD, version control, and automated deployment.
What You’ll Do
* Engineer AI Backends: Design and deploy scalable FastAPI endpoints that handle complex queries and serve data from our Knowledge Graphs to the frontend.
* Build Interactive Graph Interfaces: Take proven concepts from Streamlit and re-engineer them into responsive React applications. Your goal is to build UIs that make navigating complex graph data simple and actionable for business users.
* Optimize GraphRAG Pipelines: Refine our RAG strategies to ensure our AI retrieves the most relevant contexts from our graph structures.
* Productionize Prototypes: Bridge the gap between data science and software engineering by rewriting experimental Python code into production-grade, maintainable software.
* CI/CD & Deployment: Use Jenkins and GitHub to maintain a robust deployment pipeline for both the backend APIs and the frontend applications.
Your Profile
* Someone with a strong data/backend foundation (Python, API design) who is not afraid of the frontend.
* Experience or strong interest in React—specifically in how to visualize data (charts, graphs, networks).
* A "Product Engineering" mindset: You care about how the AI output is actually consumed by the user.
You are currently enrolled in a university degree program, ideally with a technical focus.
Our Offer
* Modern Tech Stack: Work with a clean, efficient stack (FastAPI, React, Snowflake, Airflow) where you spend more time building and less time maintaining legacy systems.
Complex Engineering Challenges: Move beyond standard analytics to solve hard problems in GraphRAG and knowledge retrieval, building systems that truly understand data relationships.
Hybrid Career Growth: This role sits at the intersection of Data Science and Full-Stack Engineering—a perfect opportunity to master the end-to-end process of building AI products.
Ownership & Autonomy: We trust our team to make technical decisions. You will have the freedom to architect solutions and choose the best tools for the job.
Tangible Impact: You aren't just generating reports. You are building the interactive applications and tools that our business teams use every day to make decisions.
* You will spend your office days in our modern, easily accessible office at Vienna Central Station.
* You can expect an exciting and instructive internship for 5 to 6 months.
For the internship, a monthly gross salary of € 2,500.00 applies on the basis of full-time employment.
Would you like to work in a team where good cooperation and diversity are actively practiced? Then you've come to the right place. Equal opportunity is important to us - regardless of age, gender, sexual orientation, physical impairment, religion or origin.
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