We are seeking an AI Application Developer to help build and deploy practical AI solutions that improve productivity across operations, project management, and business workflows. This is a hands‐on role focused on implementing AI tools, automation, and integrations — not research.You will work with internal stakeholders to develop AI‐powered assistants, automate manual processes, and integrate AI into existing business systems.This is an excellent chance for someone early in their career who wants to gain real‐world experience building and deploying AI solutions.Key ResponsibilitiesAI Solution DevelopmentDesign, build, and deploy AI/ML models to support business operationsDevelop automation using LLMs, machine learning, and AI workflowsBuild AI agents for internal productivity and decision supportImplement document intelligence and data extraction solutionsDevelop predictive analytics models where applicableSystem IntegrationIntegrate AI solutions with field operations systemsBuild APIs and automation pipelinesConnect AI solutions to internal databasesPrepare datasets for training and inferenceClean and normalize structured and unstructured dataBuild data pipelines for AI workloadsAI Governance & SecurityFollow the company AI governance and security standardsEnsure data privacy and compliance requirements are metMonitor AI outputs for accuracy and reliabilityImplement human‐in‐the‐loop controls where requiredWork with department leaders to identify AI opportunitiesTranslate business problems into technical AI solutionsProvide demonstrations and prototypesSupport change management and adoptionMonitor performance of deployed AI modelsImprove prompts, workflows, and modelsQualificationsEducationBachelor's degree in Computer Science, AI, Engineering, or related fieldEquivalent practical AI experience consideredRequired Experience2–5 years experience in AI / Machine Learning / AutomationExperience with APIs and system integrationsExperience working with business stakeholders.Technical SkillsAI / MLAI agents / workflow automationModel evaluation and tuningAI Tools / PlatformsHuggingFace (nice to have)Azure Functions / Logic AppsDocker (nice to have)DataStructured and unstructured data handlingSuccess MetricsAI solutions deployed to productionBusiness hours saved through automationAccuracy of AI outputsROI of AI initiatives

📌 Application Developer Ai (Vaughan)
🏢 National Consultants Professionals
📍 Vaughan