AutoScout24 Engine GmbH is looking for a Principal GenAI Data Scientist to join our Data Science organization. You will drive the development of next-generation AI solutions across the company, taking ownership of building agentic GenAI systems, integrating knowledge into models, and setting up evaluation and monitoring frameworks for reliable, scalable AI products.
What You'll Do
- Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, translating product needs into scalable AI solutions and delivering production-ready implementations.
- Develop and maintain knowledge integration pipelines, including RAG architectures, custom model fine-tuning, vector search, and other grounding methods.
- Define evaluation strategies, build ground-truth datasets, and create automated test and monitoring setups to ensure stable long-term model performance.
- Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products.
- Act as a hands-on expert for GenAI topics, mentoring peers, guiding solution architecture, and driving best practices in coding, testing, observability, and documentation.
- Experiment with new tools, models, and architectures, identify high-impact AI opportunities, and build prototypes that can scale into production-ready solutions.
What We're Looking For
- 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).
- Experience deploying AI systems in a cloud environment and working with modern ML stacks.
- Ability to explain complex AI topics in clear and actionable language to technical and non-technical stakeholders.
Nice to Have
- Familiarity with MLOps, prompt engineering, or LLM-based application design.
Technical Stack
- Python, LangChain, AutoGen, Atomic Agents, RAG, Vector Databases, Cloud Environment, Modern ML Stacks
Team & Environment
You will be part of the Data Science organization.
Work Mode
This is a local-city position in Munich (Germany) or Toronto (Canada).
AutoScout24 Engine GmbH is an equal opportunity employer.
