Senior Software Engineer

Job summary

Drive an AI-first engineering culture by embedding agentic AI workflows into core software practices and internal platforms. Build and scale high-impact AI Proofs of Concept (POCs) within a secure enterprise infrastructure.

Job details

Positions title: Python & AI Engineer Number of openings: 1, 12-Month initial contract Location: Toronto, ON CA Hybrid work — 4 days/week in-office downtown Toronto Must be eligible to work in Canada Roles and responsibilities: We are seeking a proactive, full-stack Python & AI Developer to join the Equities Technology team's Applied AI Initiative. In this role, you will drive an "AI-first" engineering culture by embedding modern AI tools and Agentic AI workflows directly into core software engineering practices and internal platforms. You will be responsible for building high-impact Proofs of Concept (POCs) from scratch and scaling AI features within a secure enterprise infrastructure. We are looking for a true builder with a strong sense of curiosity and enthusiasm for modern generative AI and agentic coding workflows. Key Responsibilities Rapidly build, prototype, and ship POCs that apply modern AI to real-world business challenges. Champion AI-assisted development and Agentic AI coding practices across the entire Software Development Lifecycle (SDLC). Collaborate with cross-functional technology and business teams to identify, validate, and scale high-value AI opportunities. Embed generative AI solutions responsibly, adhering to enterprise security, scalability, and privacy standards. Must have Qualifications A minimum of 5+yrs of the following: Python Expertise: Deep, hands-on knowledge of Python and its core modern frameworks. Agentic Coding & AI Tooling: Practical experience with GitHub Copilot, modern LLM-driven development tools, and agentic coding patterns. Full-Stack Capability: Working knowledge of modern front-end frameworks (React strongly preferred) and relational databases. Deployment & Enterprise Tech: Solid grasp of containerization, modern deployment patterns, and foundational enterprise architecture requirements (security, logging, scalability). Generative AI Concepts: Solid understanding of modern GenAI patterns (RAG, AI agents, embeddings, prompt/context engineering, evaluation frameworks). AI Governance & Risk Awareness: Understanding of data privacy, hallucination mitigation, model risk management, and operating within enterprise/regulated guardrails. Preferred Experience & Mindset Proactive "builder" mindset with high initiative and a passion for staying on the cutting edge of AI development. Previous experience in regulated environments (financial services, healthcare, etc.) is a plus, though Capital Markets domain knowledge is not required.

What you’ll do

Drive an AI-first engineering culture by embedding agentic AI workflows into core software practices and internal platforms. Build and scale high-impact AI Proofs of Concept (POCs) within a secure enterprise infrastructure.

Requirements

Requires 5+ years of experience with deep Python expertise and practical knowledge of LLM-driven development tools. Candidates must have full-stack capabilities and a strong understanding of GenAI patterns and enterprise security standards.

Listed skills

• React · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Generative AI
• Agentic AI
• React
• Relational Databases
• Containerization
• RAG
• Prompt Engineering
• GitHub Copilot
• Enterprise Architecture
• Full-Stack Development
• AI Governance

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Finance & Accounting