Senior AI Engineer / Generative AILocation: Toronto, ONWork Model: HybridEmployment Type: Full time (FTE)Required Experience10+ years of software engineering experience with 5+ years in AI/ML and Generative AIProven experience designing, developing, and deploying enterprise-scale GenAI solutionsStrong expertise in LLMs, RAG, Agentic AI, Microservices, and Cloud-based AI platformsExperience leading technical architecture, mentoring engineering teams, and driving engineering best practicesKey ResponsibilitiesDesign, architect, and deploy scalable Generative AI solutions for enterprise applications.Build Agentic AI workflows using LLMs, orchestration frameworks, and AI tools.Develop end-to-end RAG (Retrieval-Augmented Generation) pipelines, semantic search, embeddings, and vector-based retrieval solutions.Design and develop scalable backend services, microservices, and secure REST APIs for AI applications.Build and integrate user-facing AI applications using modern frontend technologies.Collaborate with Data Engineering, Platform Engineering, and DevOps teams to deliver production-ready AI solutions.Lead model deployment, optimization, monitoring, and lifecycle management.Implement CI/CD pipelines, containerization, and DevOps best practices for AI applications.Conduct architecture reviews, mentor engineering teams, and establish coding standards and best practices.Translate business requirements into scalable, secure,



and high-performance AI solutions.Required Technical SkillsProgramming & Full StackPython (Mandatory)JavaRSQLJavaScriptReactJSNode.JsHTML5CSS3Generative AI & Machine LearningLarge Language Models (LLMs)Prompt EngineeringGenerative AINatural Language Processing (NLP)Natural Language Understanding (NLU)TensorFlowPyTorchKerasAgentic AI & AI FrameworksLangChainLangGraphOllamaAI Agents & Workflow OrchestrationTool Calling & Function CallingRAG & Knowledge RetrievalRetrieval-Augmented Generation (RAG)Vector DatabasesEmbeddingsSemantic SearchVector SearchKnowledge RetrievalArchitecture & BackendMicroservices ArchitectureREST APIsAPI IntegrationService-Oriented Architecture (SOA)DevOps & DeploymentDockerKubernetesGitGitHubGitHub ActionsCI/CD PipelinesModel Deployment & MonitoringDatabasesSQLNoSQLPreferred QualificationsExperience with Azure OpenAI, AWS Bedrock, or Google Vertex AIExperience building distributed, highly available AI systemsKnowledge of cloud-native architectures, performance optimization, and scalable AI infrastructureExperience leading enterprise AI initiatives and architecture decisionsPreferred SkillsAzure OpenAI ServiceAWS BedrockGoogle Vertex AIDistributed SystemsHigh Availability (HA)Performance TuningEnterprise AI ArchitectureAgile/Scrum DeliveryKey CompetenciesEnterprise AI Solution ArchitectureGenerative AI & LLM EngineeringAgentic AI DesignTechnical Leadership & MentoringCloud-Native AI DevelopmentCross-Functional CollaborationProblem Solving & Analytical ThinkingExcellent Communication & Stakeholder Management#J-18808-Ljbffr

📌 Senior Ai Engineer / Generative Ai | Toronto, On - Hybrid | Fulltime Fte
🏢 AceStack
📍 Toronto