AI Engineer Role in Asset Management

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 strong 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 expectationsRequirements:
• 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 readinessBring your AI engineering expertise to CC&L Financial and make a real difference.

#J-18808-Ljbffr