CapIntel seeks a Context Engineer to enhance our AI infrastructure for wealth management. Your expertise in LLMs and production systems will support financial advisors in delivering outstanding service.

As a Context Engineer, you will play a vital role at CapIntel, integrating large language models into our software platform. With a hands-on approach, you'll ensure the reliability and scalability of AI features that empower financial advisors. Collaborating with cross-functional teams, your focus will be on creative solutions that improve client interaction and overall user experience.

Key Responsibilities:
• Design and implement LLM-powered features via model APIs
• Architect and maintain retrieval-augmented generation (RAG) pipelines




• Manage context window strategy for optimal model input
• Build agentic workflows for autonomous task handling
• Develop guardrail layers for compliant AI behavior

Requirements:
• 5+ years in software engineering, 1–2 years with LLMs
• Proficiency in Python or Node for backend services
• Experience with RAG architecture and vector databases
• Familiarity with context management techniques
• Ability to collaborate with diverse teams

Elevate your engineering career by driving innovation at CapIntel in this unique context engineering role.
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📌 Context Engineer at CapIntel (Quebec City)
🏢 CapIntel
📍 Quebec City