Join CapIntel as a Context Engineer and shape the future of AI in wealth management. This role focuses on integrating LLMs and enhancing client experiences through reliable AI systems.

In this pivotal role, you will work closely with engineering and product teams at CapIntel to design and deliver LLM-powered applications. Your focus on production reliability will be key to ensuring that financial advisors can confidently serve their clients. You will help set standards for context engineering practices that align with our mission to improve financial advisory services.

Key Responsibilities:
• Create and implement LLM-focused features within our platform
• Develop RAG pipelines that connect language models to knowledge bases




• Optimize context window strategies to improve model accuracy
• Enable multi-step workflows within the platform
• Build validation layers for dependable AI outputs

Requirements:
• 5+ years of software engineering experience, with LLM focus
• Skilled in Python or Node for integrated backend services
• Robust knowledge of RAG and vector database systems
• Familiar with context management strategies
• Enjoy collaborating in a rapid growth environment

Bring your skills to CapIntel and make a significant impact in the evolving realm of context engineering.
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📌 CapIntel Context Engineer Role (Quebec City)
🏢 CapIntel
📍 Quebec City