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Location: Toronto, ON Work Model: Hybrid — 2 days/week downtown Toronto # of roles: 2 Paralucent is seeking an experienced Agentic AI Platform Engineer to join our team and support a major client in the banking sector. In this role, you will be responsible for the hands-on design, development, integration, and execution of AI-driven initiatives focused on agentic AI, cloud platforms, enterprise workflows, and scalable platform modernization. This opportunity is ideal for a technically strong engineer who can translate delivery plans, architecture direction, business requirements, and platform strategy into working solutions. You will work closely with the Delivery Manager, architects, technical leads, client stakeholders, and cross-functional teams to build, test, and deploy agentic AI-enabled capabilities within a complex enterprise environment involving cloud technologies, enterprise integrations, governance requirements, and production-readiness expectations. The successful candidate will play a critical role in turning strategy and technical vision into practical, secure, scalable, and measurable AI-enabled solutions. Key Responsibilities Agentic AI Solution Development Design, develop, and implement agentic AI workflows, AI-enabled services, prototypes, and production-ready platform components. Build solutions that support enterprise workflows, business process transformation, intelligent automation, and human-in-the-loop execution. Implement agentic patterns involving task planning, tool/API usage, workflow orchestration, validation, exception handling, and escalation. Platform Engineering & Cloud Development Develop cloud-native applications, services, APIs, and integrations using AWS and/or Azure. Build reusable platform components, connectors, services, and integration patterns that support scalable AI platform delivery. Partner with architects and technical leads to ensure solutions align with enterprise architecture, security, cloud, and operational standards. AI / LLM Implementation Implement solutions using Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), and agentic AI frameworks or patterns. Develop prompt strategies, structured outputs, tool-calling workflows, retrieval-augmented generation patterns, and AI validation approaches. Support accuracy, reliability, auditability, and safe execution through testing, guardrails, logging, and human review patterns. Enterprise Integration & Workflow Automation Integrate AI-enabled workflows with enterprise applications, APIs, databases, document repositories, and workflow platforms. Build automation and integration components that connect AI capabilities to business processes and operational systems. Support secure access, identity, data flow, logging, monitoring, and compliance-aware implementation within a regulated enterprise environment. Delivery Execution & Technical Collaboration Work closely with the Delivery Manager to execute against delivery plans, milestones, sprint priorities, and release timelines. Break down technical requirements into tasks, estimates, dependencies, and implementation steps. Participate in discovery, design, development, pilot, release, and production-readiness activities with clear technical accountability. Quality, Testing & Production Readiness Write clean, maintainable, secure, and well-documented code. Develop unit tests, integration tests, validation routines, and AI output evaluation approaches. Support deployment, release readiness, operational handoff, troubleshooting, root cause analysis, and continuous improvement. Required Qualifications Proven experience as a Software Developer, AI Engineer, Platform Engineer, Cloud Developer, Full-Stack Developer, or similar hands-on technical role within complex enterprise technology environments. Demonstrated experience designing and building software