Join Connor, Clark & Lunn Financial Group as an AI Engineer and create impactful AI systems in a hybrid setting. Implement AI assistants from concept to production with a focus on quality and compliance. This role requires robust abilities in Python and AI frameworks to transform specifications into operational assistants.

You will work with data engineering to prepare high-quality data for MLOps pipelines and ensure thorough documentation of processes and edge cases. The emphasis on collaborative feedback further enhances your development impact. Key Responsibilities:

- Build and optimize AI assistants and agents
- Develop and maintain indexing and access controls
- Test and iterate prompts and workflows
- Manage code quality and version artifacts
- Document risks and maintain stakeholder expectations Requirements:
- Proven Python experience for LLM deployment
- Expertise in RAG and precision/recall evaluation
- Familiarity with frameworks like LlamaIndex
- Hands-on experience with AI platforms like Google Vertex AI
- Strong communication skills and production readiness Bring your AI engineering expertise to CC&L; Financial and make a real difference.

📌 AI Engineer Role in Asset Management (Toronto)
🏢 Connor, Clark u0026 Lunn Financial Group
📍 Toronto