Be a crucial part of CapIntel's innovation as a Context Engineer, enhancing AI integration in wealth management solutions. Help advisors deliver educational investments presentations effortlessly.

As a Context Engineer, your expertise will guide the implementation of large language models into our software platform. You’ll focus on creating scalable, reliable AI tools that elevate the advisor-client relationship. Engage with various teams to bring business requirements to life while establishing best practices in context engineering for future projects.

Key Responsibilities:
• Implement LLM-powered features via APIs like OpenAI and Anthropic
• Maintain retrieval-augmented generation pipelines for data linking
• Determine context window strategy for model efficiency




• Design workflows for automated, multi-step processes
• Establish output guards to ensure model compliance and reliability

Requirements:
• 5+ years in software engineering, including with LLMs
• Expertise in Python or Node for backend development
• Understanding of RAG architecture and database management
• Knowledge of context management techniques
• Effective communication with cross-functional teams

Transform your career at CapIntel by driving AI advancements in wealth management.
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📌 CapIntel AI Infrastructure Engineer (Quebec City)
🏢 CapIntel
📍 Quebec City