Senior Software Engineer / AI Enabler (m/f/d)

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideasin the driving seat and change the way the world moves, join our global community.

We’re hiring a Software Engineer to join Search & Performance group at AutoScout24 – the group behind the Algorithms and Data Quality that powers the AutoScout24 Search Experience and Ad Products. This role is about real ownership: you’ll work on high-traffic systems, shape key parts of our user experience, and contribute to critical business outcomes.

What you’ll do:

• Work on product and tech initiatives finding the right mix between effort, quality and user value
• Optimize and improve the AS24 technology stack by targeting individual and team efficiency, applying future proven concepts, architectural principles, and frameworks
• Support our agile product development approach

What you need to succeed:

• Deep expertise in Java and Spring Boot, with a breadth of knowledge across a range of languages and technologies in both Object-Oriented and Functional paradigms; able to quickly grasp new concepts and tools Experience with Scala is a plus
• 5+ years of Software Engineering experience, hands-on experience with PostgreSQL, DynamoDB, Kafka, and AWS is a strong plus
• Team player but also decisive mentality
• Demonstrated personal excellence in using GenAI coding tools (for example GitHub Copilot, ChatGPT, Cursor, OpenAI Codex) to significantly improve your own development speed and quality: code generation, refactoring, debugging, tests and documentation.
• Experience integrating LLM APIs (such as OpenAI, Anthropic, Azure OpenAI, Vertex AI or similar) into applications or internal tools.
• A pragmatic view of GenAI: you understand its limitations and risks and know how to put guardrails in place (reviews, tests, policies) to keep usage safe, compliant and sustainable at scale.