Working Student AI Engineering (m/w/d)

Why Scout24?

Sprengnetter, part of the Scout24 Group since 2023, has been simplifying real estate valuation since 1978, making the process more secure and efficient. The company supports partners in the lending and real estate industries with innovative software solutions, up-to-date market data, professional services, industry literature, and a wide range of training opportunities. Through subsidiaries in Austria and Italy, Sprengnetter is also driving the internationalization of its business. With over 200 employees, the company sets standards in the industry. If this sounds interesting to you, we look forward to welcoming you to our team! Even if you may not meet all the job requirements, we are eager to see the value you can bring to our team. Grow with us! Welcome home!

Benefits

• Flexibility: Decide for yourself where you work most effectively. We offer a hybrid work model with two days a week in the office, and you’re free to organize the rest of your time as you see fit. We offer 20 days of vacation per year.
• Use our products: As an employee, you can use our Plus membership for renters on ImmoScout24 to find a new apartment.
• Professional development: Comprehensive, certified, and internationally recognized professional development programs from the Sprengnetter Academy
• We are a tech company: We work with the latest technical tools and state-of-the-art hardware.

Hours: 20 hours/week

Desired start date: immediately

Duration: at least 1 year (You must be enrolled at an accredited institution of higher education for at least one more year, and we ask that you specify this when applying)

We are transforming the technology foundation of Germany's leading real estate valuation platform. As we explore the role of AI and intelligent automation of our product landscape, we are looking for a curious, technically sharp working student to help us turn our hypotheses into evidence and to test our early prototypes and help us scale.

What are we looking for in you?

You will build and test proof of concepts that help us answer specific architectural and product questions - things like:

• Can this use case be supported by AI?
• What LLMs work better for our solution?
• What happens when the solution encounters something it did not expect?
• How can I validate and set gold standards for model rating?

What skills do you already bring to the table?

• Familiarity with LLM APIs
• Basic understanding how to turn prompts to code
• Basic understanding of REST APIs and System Integration
• Basic understanding of model validation and confusion matrices
• Lot of curiosity
• Bonus: Interest in regulated domains
• Experience in the effective use of AI tools to boost productivity and solve problems