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 cutting-edge 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.

📌 Context Engineer at CapIntel (Ottawa)
🏢 CapIntel
📍 Ottawa