Principle GenAI Data Scientist (m/f/d)

Das ist der Job

A career driven by you.

Darum lohnt es sich

For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.

What you’ll do Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen, or Atomic Agents, taking the lead on translating product needs into scalable AI solutions and delivering production-ready implementations.

Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer‑facing products, designing clean APIs, robust pipelines, and scalable deployment patterns. Experience deploying AI systems in a cloud environment and working with modern ML stacks.

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.

As Principal GenAI Data Scientist , you’ll join our Data Science organization and drive the development of next-generation AI solutions across the company.

You will take ownership of building agentic GenAI systems, integrating knowledge into models, and setting up strong evaluation and monitoring frameworks that ensure we deliver reliable, scalable, and high-value AI products. This position is permanent and located in Munich (Germany) or Toronto (Canada).

Develop and maintain knowledge integration pipelines, including RAG architectures, custom model fine-tuning, vector search, and other grounding methods to ensure our AI systems have the right context for accurate, relevant outputs.

Define evaluation strategies, build ground-truth datasets, and create automated test and monitoring setups to ensure stable long‑term model performance and proactively detect issues such as drift or hallucination.

Act as a hands‑on expert for GenAI topics, mentoring peers, guiding solution architecture, and driving best practices in coding, testing, observability, and documentation across the organization.

Experiment with new tools, models, and architectures, identify high‑impact AI opportunities, and build prototypes that can scale into production‑ready solutions. Qualifications A degree in computer science, data science, engineering, or a related field.

Experience building agentic GenAI systems in production (e.g., LangChain, AutoGen, Atomic Agents, or similar frameworks). Strong coding skills in Python and experience with robust software engineering practices. Practical experience with RAG pipelines, vector databases, embeddings, or fine‑tuning workflows.

Strong understanding of common challenges in AI development (ground‑truth evaluation data, monitoring, integration complexity, model drift). Familiarity with MLOps, prompt engineering, or LLM‑based application design. Ability to explain complex AI topics in clear and actionable language to technical and non‑technical stakeholders.

High motivation, ownership mentality, and a strong drive to build impactful AI products. Fluency in English; German is a plus. #J-18808-Ljbffr