<div class="content-intro"><p>Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments.</p> <p>Our portfolio includes <strong>Zafin AIOS</strong>, an agent orchestration platform for governed AI work; the <strong>Zafin Banking Platform</strong>, which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and <strong>Zafin IO</strong>, an integration platform that connects data, systems, and workflows across complex enterprise environments.</p> <p>Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale.</p></div><p><strong>What’s the Opportunity?</strong><span data-ccp-props="{}"> </span></p> <p>The Agent Engineer designs, builds, integrates, tests, deploys, and continuously improves and scales the AI agents, workflows, prompts, tools, and supporting software capabilities that power Zafin's AI Operating System (AIOS) within client banking environments. This role translates approved business intent and architecture into reliable, production-grade AI capabilities that address real banking or regulatory client requirements.</p> <p>Working within a cross-functional AIOS squad, this role partners with Agent Architects, Industry Consultants, Evaluation Engineers, and many other professionals to ensure AI agents reflect intended business logic, integrate effectively within enterprise systems, operate safely, and meet agreed quality and performance standard.</p> <p>The role follows the AIOS delivery lifecycle — from Analysis & Concept, Immediate Development, Reliability Testing, and Assisted Deployment — compressing delivery timelines while holding to the platform's core principle: reliability first, velocity second. This standard reflects Zafin's own AI engineering practice. Agents, prompts, and integrations built in this role are designed to become reusable assets within the shared AI platform library used across client engagements.</p> <p>Scope, independence, and technical leadership increase with experience. Early-career engineers deliver defined components with guidance. More experienced engineers own complex capabilities and workstreams, resolve ambiguous implementation challenges, improve engineering practices, and guide other engineers. At the most senior level covered by this profile, the Lead Agent Engineer serves as the squad’s technical implementation anchor, leading delivery from architecture through production while partnering with the Agent Architect on solution direction.</p> <p><strong>What Will You Do?</strong><span data-ccp-props="{}"> </span></p> <ul> <li>Build, configure, and optimize AI agents, tools, workflows, prompts, integrations, and supporting application components.</li> <li>Build and maintain AI-powered conversational experiences, intelligent search capabilities, and automation solutions alongside core agent workflows.</li> <li>Translate business rules, workflow designs, and technical specifications, into production-grade AI agent capabilities.</li> <li>Develop AI-powered conversational experiences, intelligent search capabilities, automation solutions, and multi-step agent workflows.</li> <li>Integrate APIs, enterprise systems, tools, databases, and structured and unstructured data sources into AIOS solutions.</li> <li>Write clean, maintainable, secure, and testable code and configuration that supports ongoing operation and reuse.</li> <li>Design, develop, and optimize data pipelines that support AI applications and enable effective use of structured and unstructured enterprise data.</li> <li>Configure and troubleshoot AI agents, workflows, templates, integrations, and supporting services to maintain production reliability.</li> <li>Execute the full AIOS delivery lifecycle on assigned initiatives — Analysis & Concept, Immediate Development, Reliability Testing, and Assisted Deployment — with reliability as the primary standard.</li> <li>Implement appropriate monitoring, logging, error handling, observability, security controls, and operational support practices.</li> <li>Respond to evaluation findings, production feedback, and changing business requirements by refining agent behaviour, prompts, workflows, integrations, and supporting code.</li> <li>Engage in rapid experimentation and continuous post-launch iteration to ensure AI agent solutions meet their targets and sustain adoption.</li> <li>Contribute reusable AI agent components and design patterns to the shared platform library used across client engagements.</li> <li>Partner and collaborate cross-functionally in squad to achieve client / engagement outcomes like Industry Consultants, Knowledge and Governance leaders to encode business and regulatory logic into AI agent behavior.</li> <li>Configure and troubleshoot AI agents, workflows, and templates to maintain production reliability.</li> <li>Participate in customer workshops, technical discussions, solution demonstrations, and knowledge transfer sessions.</li> <li>Participate in the weekly AI agent design and delivery cadence, and the bi-weekly evaluation and AI agent optimization cycle.</li> <li>Contribute to the platform's AI agent and DORA metrics library to ensure consistent measurement across initiatives.</li> <li>Depending on experience and level, you may also: <ul> <li>Independently own increasingly complex AI agent capabilities or technical workstreams from design through production, solving implementation, integration, reliability, and performance challenges.</li> <li>Lead major implementation initiatives, coordinate techn