Senior GenAI Data Scientist

About the role

Senior GenAI Data Scientist

AutoScout24 Group offers a career defined by constant motion and decisive impact. Professionals who thrive on building markets, not just operating within them, will find their element here. The company drives relentless innovation, reshaping customer experiences and transforming how the world moves. If your ambition aligns with this velocity, a role within their international community awaits. This position places your ideas at the center of the journey.

Position and Location

The role of Senior GenAI Data Scientist is a permanent opportunity based in Munich, Germany, or Toronto, Canada. You will join the Data Science organisation with a clear mandate to influence the next generation of AI solutions. Your work will directly support the company's market-leading position. The position is classified as permanent.

Core Responsibilities

You will design and build agentic GenAI systems using frameworks such as LangChain, AutoGen, and Atomic Agents. Translating complex product requirements into scalable, production-ready AI solutions is a primary focus. You will take ownership of the full lifecycle, ensuring systems are reliable and deliver high value.

Driving harness engineering practices is essential. You will establish agent-ready repositories, workflows, and standards that enable robust software engineering agents. These frameworks will govern how AI agents generate, test, maintain, and review code across all data products. Creating structured feedback loops is a critical part of this responsibility.

Developing and maintaining knowledge integration pipelines is another key duty. This includes RAG architectures, custom model fine-tuning, and vector search implementations. You will also set up grounding methods to ensure AI systems access the correct context. The goal is to deliver outputs that are consistently accurate and relevant.

You will also set up strong evaluation and monitoring frameworks. These systems will test agent behavior under dynamic conditions, including shifting market rules. Your work will catch drift early and prevent issues before code reaches real users. This requires a proactive approach to quality and performance.

Choreographing partner handoffs is part of the role. You will guide experiments as they graduate into shared production environments. This ensures seamless collaboration between teams and maintains momentum from development to deployment. Owning these integration pipelines connects models directly to live AutoScout24 services.

Required Expertise

The position demands fluency in modern model orchestration tools. LangChain, AutoGen, and Atomic Agents are required for effective system design. You must have a proven track record shaping data products. The role specifies three to five years of relevant experience in this domain.

A background in evaluation harness design is necessary. You should have experience testing agent behavior in complex scenarios. Knowledge of grounding techniques for context management is also mandatory. This ensures systems remain stable and dependable.

Application Details

This position represents a career where you can put your ideas in the driving seat. The role is permanent and open to locations in Munich or Toronto. For precise instructions and requirements, consult the official apply page.

What you'll do

• Execute the full scope of work expected for the Senior GenAI Data Scientist role at AutoScout24, driving initiatives from conception to production.
• Architect and implement autonomous agentic systems that leverage advanced frameworks to solve complex business challenges in the automotive marketplace.
• Engineer robust harnesses that standardize agent workflows, enabling scalable development and deployment of intelligent AI applications.
• Establish rigorous standards and repositories that govern the lifecycle of AI agents, ensuring code quality, reliability, and performance across the data stack.
• Construct knowledge integration pipelines that power retrieval-augmented generation, fine-tune models, and optimize vector search for precise contextual understanding.
• Implement sophisticated grounding mechanisms that provide AI systems with accurate and timely context, reducing hallucination and improving fidelity.
• Design and maintain evaluation frameworks that stress-test agent behaviors under evolving conditions, identifying regressions and performance drift early.
• Lead cross-functional collaboration by orchestrating seamless handoffs between experimental and production environments, ensuring continuity and speed.
• Champion monitoring solutions that track system health in real time, enabling rapid response to anomalies and sustained operational excellence.
• Shape the future of AI-driven market solutions by owning end-to-end responsibility for data products that influence how millions of users discover vehicles.

Requirements

To excel in this role, you must possess a strong foundation in modern data science and software engineering principles. You should have hands-on experience building and deploying data-intensive applications in production environments. A deep understanding of large language models and their application in real-world systems is essential. You must be comfortable working in fast-paced, agile environments where requirements evolve quickly. The ability to communicate complex technical concepts to non-technical stakeholders is critical for success. You should demonstrate ownership and initiative, taking pride in delivering high-quality solutions on time. A collaborative mindset is necessary to work effectively within a diverse, international team. Finally, you must be passionate about leveraging data to drive business outcomes and have a proven track record of impactful work.

Nice to have

Preferred qualifications include experience with cloud-native architectures and containerized deployment strategies. Backgrounds in automotive marketplaces or recommendation systems are considered advantageous. Familiarity with MLOps platforms and experiment tracking tools adds further value to the role. Experience contributing to open-source agentic frameworks is viewed favorably. Knowledge of regulatory and compliance considerations in data-driven products is also seen as beneficial.

Practical notes

This is a permanent position with a standard full-time schedule. The role is based in Munich, Germany, or Toronto, Canada, and may require relocation. For specific application procedures and requirements, please refer to the official apply page.