We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader who has built scalable software systems and has experience leveraging AI technologies to solve complex business problems.You will partner closely with Engineering, Product, Data, and Technology leaders to design and deliver contemporary, resilient, and intelligent solutions. While experience with AI and machine learning technologies is important, this role is fundamentally an engineering leadership position focused on architecture, platform development, system design, and software delivery excellence.This is a hands-on role requiring strong technical depth, architectural thinking and the ability to influence engineering direction across multiple teams.What You Will Be Responsible For:You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise.1. Build & Ship AI Applications (Primary Focus)Design, develop, and deploy AI-powered applications and workflowsWrite production-quality code across:Backend services and APIsAI orchestration layers and agentsEnterprise integrationsRapidly prototype solutions and iterate them into scalable production systemsOwn delivery end-to-end: build, test, deploy, monitor, and improve2. Design Practical, Scalable AI SystemsTranslate use cases into clear, implementable system designsMake architecture decisions that balance:Speed of deliveryScalability and reliabilityCost and operational efficiencyDefine patterns for:API-first integrationsAI orchestration and workflowsReusable services and componentsEnsure systems are simple enough to build quickly, but structured enough to scale3. Integrate AI into Real Enterprise WorkflowsEmbed LLM capabilities into products, internal tools, and business processesBuild and maintain APIs and system integrationsImplement agent workflows and orchestration logic that solve real operational problemsOptimize systems for performance, resilience,



and cost efficiency4. Partner with Business & Deliver OutcomesWork directly with stakeholders to understand problems and validate solutionsTranslate requirements into working software quickly (days/weeks, not months)Iterate based on feedback and usage to drive measurable impact5. Contribute to Engineering Standards & ReuseBuild and contribute to shared libraries, templates, and servicesEstablish practical patterns based on real implementationsHelp evolve internal platforms through code and working solutions, not just design artifacts6. Build Within a Governed AI EnvironmentImplement secure and reliable AI solutions in practice, including:Prompt safety and validationInjection/misuse preventionObservability and traceabilityAlign implementations with enterprise security, privacy, and compliance requirementsTechnology EnvironmentCloud & Platform: Microsoft ecosystem (Azure)AI Models: Claude and other enterprise-approved LLMsArchitecture Style: API-first, event-driven, and modular servicesCore Focus:AI application engineeringOrchestration and agent workflowsEnterprise integrationsWhat you bring:Hands-On Engineering Strength (Critical)8+ years of software engineering experience building and delivering scalable, production-grade applications and platforms.Demonstrated success leading complex technical initiatives from design through deployment and ongoing operations.Strong engineering fundamentals with the ability to influence technical direction across teams and organizations.System Design & Architecture JudgmentDeep expertise in designing scalable, resilient, and maintainable software architectures.Experience making trade-offs across:delivery speed vs scalabilitysimplicity vs flexibilityCan move fluidly between coding and design thinkingAI / GenAI Development3+ years of hands-on experience building and deploying AI/Generative AI solutions in production environments.Strong understanding of:Prompt design and evaluationAgent-based workflows and orchestrationIntegrating AI into production systemsAbility to debug, tune, and improve AI behavior in code #J-18808-Ljbffr

📌 Staff Engineer (Ai & Engineering) (Toronto)
🏢 Kinvie
📍 Toronto