A career driven by you.Join AutoScout24 Group and experience life in the fast just leading the market;werecreating innovating evolving and transforming things for our ambitious and determined to do our best work together. For a career thatdoesntstand still where you can put your ideas in the driving seat and change the way the world moves join our international community.
AsPrincipal GenAI Data Scientistyoulljoin ourData Scienceorganisationand 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 ispermanentandlocatedinMunich(Germany) orToronto(Canada).
WHAT YOULL DO
- Design and build agentic GenAI systems using modern frameworks such asLangChainAutoGenor Atomic Agents taking the lead on translating product needs into scalable AI solutions and delivering production-ready implementations.
- Develop andmaintainknowledge integration pipelines including RAG architectures custom model fine-tuning vector search and other grounding methods to ensure our AI systems have the right context foraccurate 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.
- 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.
- 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 theorganisation.
- Experiment with new tools models and architecturesidentifyhigh-impact AI opportunities and build prototypes that can scale into production-ready solutions.
YOU COME WITH
- A degree in computer science data science engineering ora relatedfield.
- Experience building agentic GenAI systems in production ( 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 ofcommon challengesin 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.
- Familiarity withMLOps 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.
A culture of growth.With over 50 nationalities representedwereproud to welcome people of all backgrounds to our growing community andwerealways finding new ways to help people feel welcomed and included. Hereyoullhave the toolstrainingand support you need to work in a way that suits you learn newskillsand reach your potential.
For a career where you can driveourbusiness and shape your future apply now.
Required Experience:
IC
A career driven by you.Join AutoScout24 Group and experience life in the fast just leading the market;werecreating innovating evolving and transforming things for our ambitious and determined to do our best work together. For a career thatdoesntstand still where you can put your ideas in the driv...
A career driven by you.Join AutoScout24 Group and experience life in the fast just leading the market;werecreating innovating evolving and transforming things for our ambitious and determined to do our best work together. For a career thatdoesntstand still where you can put your ideas in the driving seat and change the way the world moves join our international community.
AsPrincipal GenAI Data Scientistyoulljoin ourData Scienceorganisationand 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 ispermanentandlocatedinMunich(Germany) orToronto(Canada).
WHAT YOULL DO
- Design and build agentic GenAI systems using modern frameworks such asLangChainAutoGenor Atomic Agents taking the lead on translating product needs into scalable AI solutions and delivering production-ready implementations.
- Develop andmaintainknowledge integration pipelines including RAG architectures custom model fine-tuning vector search and other grounding methods to ensure our AI systems have the right context foraccurate 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.
- 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.
- 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 theorganisation.
- Experiment with new tools models and architecturesidentifyhigh-impact AI opportunities and build prototypes that can scale into production-ready solutions.
YOU COME WITH
- A degree in computer science data science engineering ora relatedfield.
- Experience building agentic GenAI systems in production ( 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 ofcommon challengesin 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.
- Familiarity withMLOps 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.
A culture of growth.With over 50 nationalities representedwereproud to welcome people of all backgrounds to our growing community andwerealways finding new ways to help people feel welcomed and included. Hereyoullhave the toolstrainingand support you need to work in a way that suits you learn newskillsand reach your potential.
For a career where you can driveourbusiness and shape your future apply now.
Required Experience:
IC
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