Staff / Senior Software Engineer – Agentic AI Foundations

Location: Remote position. Candidates must be based in the Greater Toronto Area

Compensation: Competitive base + equity + bonus

Visa: Visa Sponsorship / Transfers are not available.

About the Company Our client is an AI-driven identity verification and risk decisioning platform trusted by financial institutions, fintechs, and enterprises. They use large-scale data and ML to determine whether digital identities are legitimate — and increasingly, to power real-time decisions around risk and compliance.

About the Role They're standing up a brand new Agentic AI team — a zero-to-one build with direct executive visibility. This team owns the core platform that enables AI agents to move beyond generating responses and into actually doing work: making decisions, executing tasks, and operating reliably at scale.

This is a platform and systems engineering role, not a feature role. If you want to build the infrastructure that an entire company will run on, this is it.

What You'll Build

• Agent execution & orchestration — how agents run, coordinate, and complete multi-step tasks
• Workflow & decisioning engines — reasoning across steps, triggering actions
• Memory & context systems — persistent layers that give agents continuity
• Safety & governance frameworks — guardrails that keep systems within defined boundaries
• Evaluation systems — measuring accuracy, reliability, and real-world impact

What You'll Do

• Design and build distributed systems supporting large-scale AI workflows
• Architect multi-agent systems that coordinate across tools and services
• Define engineering standards and platform architecture
• Integrate AI agents into real business workflows cross-functionally
• Contribute to long-term technical direction

What We're Looking For

Must-Have

• 5+ years in backend, distributed systems, or infrastructure engineering
• Strong system design fundamentals (scalability, reliability, performance)
• Proficiency in Python, Go, Java, or equivalent
• Production experience with LLM-powered systems
• Familiarity with orchestration, RAG, or agent-based workflows

Nice to Have

• Multi-agent coordination frameworks
• AI evaluation or safety/guardrails systems
• Early-stage or zero-to-one build experience

Why It's Worth a Look This is a rare chance to architect foundational AI infrastructure from scratch — high ownership, high visibility, and real influence on how an entire company operates.