Build secure AI connections to exchange market data at Capco using backend engineering, APIs, authentication, and financial-data expertise. Support AI-enabled financial services applications.

As an AI Integration Engineer, you will develop practical solutions for leading financial institutions. The work combines market-data platforms, licensing, entitlements, identity management, and distribution models. You will also apply Python, Java, LLMs, agentic AI, or Model Context Protocol patterns while collaborating with market data, engineering, and technology stakeholders.

Key Responsibilities:

- Develop integrations enabling AI agents to access exchange market data securely
- Apply licensing and entitlement knowledge to govern data distribution
- Build APIs and backend services using Python, Java, or comparable technologies
- Implement authentication,



authorization, and identity-management workflows
- Support AI connectivity with financial-data services using emerging integration patterns

Requirements:

- Five or more years in market data or related software engineering
- Robust understanding of licensing, entitlements, and distribution models
- Hands-on API, authentication, authorization, and identity-management experience
- Backend engineering experience with Python, Java, or comparable technologies
- Exposure to LLMs, agentic AI, MCP, or similar patterns

Apply market-data, backend, API, and AI integration expertise to secure financial-data access at Capco.

📌 AI Market Data Integration Engineer (Toronto)
🏢 CAPCO
📍 Toronto