Our client is building an AI Centre of Excellence focused on delivering enterprise-scale AI solutions that transform business operations. They are seeking a Lead Full Stack GenAI Developer who is passionate about building production-ready Generative AI applications from architecture through deployment.This is a highly technical, hands‐on engineering role. The successful candidate will take solution designs and build scalable, secure, enterprise‐grade AI applications that solve real business problems. You'll work closely with architects, business stakeholders, and cross‐functional teams to deliver end‐to‐end AI solutions that can be reused across the organization.Key ResponsibilitiesDesign, develop, and deploy enterprise‐grade Generative AI applications using the Microsoft Azure AI ecosystem.Build scalable, reusable backend services and APIs using Python and object‐oriented programming principles.Develop contemporary, responsive frontend applications using React and TypeScript.Design and implement Retrieval‐Augmented Generation (RAG) solutions, AI agents, and multi‐agent systems.Integrate AI solutions with enterprise platforms, databases, and business applications.Work directly with business stakeholders to gather requirements and translate them into production‐ready software.Develop modular, reusable components that can be leveraged across multiple AI initiatives.Implement GenAIOps practices including CI/CD pipelines, monitoring, evaluation frameworks, and operational governance.Ensure solutions meet enterprise standards for scalability, security, reliability, and maintainability.Collaborate with architects and technical leaders to evolve reusable AI platform capabilities.Required Technical SkillsProgramming & Full Stack DevelopmentStrong Object‐Oriented Programming (OOP) principlesReactTypeScriptREST API development and enterprise integrationsDatabricksProduction deployment of Large Language Model (LLM)



applicationsRetrieval‐Augmented Generation (RAG)Agentic AI solutionsPrompt engineering and orchestrationDevOps & OperationsGenAIOpsMonitoring and observabilityAI evaluation frameworksPerformance optimizationProduction supportWhat You'll BuildSuccessful candidates will have experience delivering production AI solutions such as:AI‐powered document extraction and classificationRetrieval‐Augmented Generation (RAG) applicationsEnterprise Q&A chatbotsAgentic AI solutionsMulti‐agent AI systemsEnterprise search platformsPolicy and knowledge search solutionsDecision support applicationsDocument and data validation solutionsHR and business process automationAI solutions leveraging both structured and unstructured dataAbout the OpportunityOur client is building an AI Centre of Excellence focused on delivering enterprise‐scale AI solutions that transform business operations. They are seeking a Lead Full Stack GenAI Developer who is passionate about building production‐ready Generative AI applications from architecture through deployment.This is a highly technical, hands‐on engineering role. The successful candidate will take solution designs and build scalable, secure, enterprise‐grade AI applications that solve real business problems. You'll work closely with architects, business stakeholders, and cross‐functional teams to deliver end‐to‐end AI solutions that can be reused across the organization.Key ResponsibilitiesDesign, develop, and deploy enterprise‐grade Generative AI applications using the Microsoft Azure AI ecosystem.Build scalable, reusable backend services and APIs using Python and object‐oriented programming principles.Develop modern, responsive frontend applications using React and TypeScript.Design and implement Retrieval‐Augmented Generation (RAG) solutions, AI agents,



and multi‐agent systems.Integrate AI solutions with enterprise platforms, databases, and business applications.Work directly with business stakeholders to gather requirements and translate them into production‐ready software.Develop modular, reusable components that can be leveraged across multiple AI initiatives.Implement GenAIOps practices including CI/CD pipelines, monitoring, evaluation frameworks, and operational governance.Ensure solutions meet enterprise standards for scalability, security, reliability, and maintainability.Collaborate with architects and technical leaders to evolve reusable AI platform capabilities.Required Technical SkillsProgramming & Full Stack DevelopmentExpert‐level Python developmentStrong Object‐Oriented Programming (OOP) principlesReactTypeScriptREST API development and enterprise integrationsMicrosoft Azure AI EcosystemAzure AI FoundryAzure OpenAIAzure AI SearchAzure Document IntelligenceAzure SQLAzure Cosmos DBAzure Data Lake Storage (ADLS)DatabricksAI EngineeringProduction deployment of Large Language Model (LLM) applicationsRetrieval‐Augmented Generation (RAG)Agentic AI solutionsMulti‐agent architecturesPrompt engineering and orchestrationEnterprise searchIntelligent document processingDevOps & OperationsGenAIOpsAI CI/CD pipelinesMonitoring and observabilityAI evaluation frameworksPerformance optimizationProduction supportWhat You'll BuildSuccessful candidates will have experience delivering production AI solutions such as:Intelligent Document Processing (IDP)AI‐powered document extraction and classificationEnterprise knowledge assistantsRetrieval‐Augmented Generation (RAG) applicationsEnterprise Q&A chatbotsAgentic AI solutionsMulti‐agent AI systemsEnterprise search platformsPolicy and knowledge search solutionsDecision support applicationsDocument and data validation solutionsHR and business process automationAI solutions leveraging both structured and unstructured dataDisclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy. #J-18808-Ljbffr

📌 Lead Full Stack Genai Developer (Toronto)
🏢 S.i. Systems
📍 Toronto