Senior Genai Data Scientist M F D

## About the role At AutoScout24, we're excited to be hiring for our Canadian company, Trader Corporation - a key part of our international family. As the Canadian arm of Europe's largest online car marketplace, Trader Corporation plays a vital role in transforming how people buy, sell, and finance vehicles. With well-known brands like AutoTrader.ca, AutoSync, and Dealertrack Canada, Trader Corporation is driving digital innovation in the automotive industry — now reaching over 25 million Canadians every month. ## Responsibilities - 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. - 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. - 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 the organisation. - Experiment with new tools, models, and architectures, identify high-impact AI opportunities, and build prototypes that can scale into production-ready solutions. ## Requirements - 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. - 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. ## What we offer We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. Benefits from Day 1 - Gym discounts - Employee and Family Assistance program - Virtual wellness events - Conferences & training budget - Regular internal training programs - Financial planning - Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. - Competitive salary - Annual bonus structure - 3% CPP matching