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Design and build GenAI systems, develop knowledge pipelines, evaluate model performance, integrate AI into products, mentor peers, and drive AI innovation.
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.
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.
- 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.
What you’ll bring:
- 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.
The base salary range for this position for Canada is CAD 180K – CAD 200K.
This range reflects the expected compensation at the time 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.
What’s 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
- 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
Top Skills
Atomic Agents
Autogen
Langchain
Llm-Based Application Design
Mlops
Python
Rag Architectures
Vector Databases
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