Job Title

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. AutoTrader.ca is Canadas largest automotive marketplace, with over 25 million monthly visits. Through AutoSync, we provide software solutions to 3,500+ dealers, streamlining their operations, marketing, and sales. Dealertrack Canada is the countrys top automotive financing portal, processing more than 6.5 million credit applications each year. Collateral Management (CMS) is a national tech solution that boosts lien and registration services, recovery services, and insolvency management solutions for Canadian lenders. As part of AutoScout24 group, Europes largest online car marketplace, were shaping the future of automotive retail in Canada and beyond. 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 productionready implementations. Develop and maintain knowledge integration pipelines, including RAG architectures, custom model finetuning, vector search, and other grounding methods to ensure our AI systems have the right context for accurate, relevant outputs. Define evaluation strategies, build groundtruth datasets, and create automated test and monitoring setups to ensure stable longterm 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 customerfacing products, designing clean APIs, robust pipelines, and scalable deployment patterns. Act as a handson 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 highimpact AI opportunities, and build prototypes that can scale into productionready solutions. YOU COME WITH A degree in computer science, data science, engineering, or 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 finetuning workflows. Experience deploying AI systems in a cloud environment and working with modern ML stacks. Familiarity with MLOps, prompt engineering, or LLMbased application design. Ability to explain complex AI topics in clear and actionable language to technical and nontechnical stakeholders. High motivation, ownership mentality, and a strong drive to build impactful AI products. Fluency in English; German is a plus. The base salary range for this position for Canada is CAD 180K CAD 200K. This range reflects the expected compensation at the of posting. The final offer may vary based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings. Whats in it for you 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 Employee and Family Assistance program Virtual wellness events Regular internal training programs Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. Annual bonus structure 3% CPP matching Use of Artificial Intelligence in Hiring: We use artificial intelligence (AI) in our hiring process, including to screen, assess, or select applicants for this position. Vacancy Status: This job posting is for an existing vacancy. #J-18808-Ljbffr