Applied AI Systems Engineer

Position Title: Applied AI Systems EngineerLocation: Orange County, California (Hybrid)Reports To: Head of OperationsPosition SummaryThis role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.Core ObjectivesBuild an internal AI platform that automates high-volume operational workflowsReduce manual processing time and administrative overheadImprove accuracy, speed, and decision visibility across departmentsEstablish scalable systems that support portfolio growth without proportional staffing increasesPrimary ResponsibilitiesAI Platform Architecture & DevelopmentDesign and deploy AI agents to automate operational and administrative workflowsBuild LLM-powered systems for document review, data extraction, and decision supportDevelop retrieval-based systems leveraging leases, financial data, contracts, and SOPsImplement evaluation, monitoring, and continuous improvement frameworksLease & Document Intelligence AutomationBuild tools to extract key lease terms, obligations, and risk clausesAutomates lease abstraction and document comparison workflowsDevelop compliance and deadline tracking systemsEnable searchable knowledge retrieval across lease and legal documentsLeasing & Asset Management AutomationAutomate LOI comparison and deal workflow summariesBuild dashboards summarizing tenant performance, lease milestones, and risk exposureSupport market intelligence and tenant prospecting researchDevelop underwriting support and reporting toolsProperty Management & Financial Workflow AutomationAutomate CAM reconciliation data processing and variance detectionStreamline tenant reporting and communication workflowsTrack vendor contracts, compliance deadlines, and service obligationsExtract and structure financial data from operational documentsData Infrastructure & Knowledge SystemsStructure internal documents and data for AI retrieval and automationBuild document ingestion, indexing, and retrieval pipelinesImplement vector search and knowledge retrieval systemsMaintain data integrity, access control, and auditabilitySystems Integration & DeploymentIntegrate AI tools with property management, accounting, CRM, and document platformsDeploy systems within secure cloud environmentsImplement logging, monitoring, performance, and cost controlsEnsure reliability and scalability of deployed systemsCollaboration & ImplementationTranslate operational workflows into technical automation solutionsWork directly with leadership to prioritize automation opportunitiesTrain teams and implement adoption workflowsEstablish standards for responsible and secure AI usageRequired QualificationsBachelor's or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative disciplineDemonstrated success in a rigorous academic or research environment3–7+ years building production software, automation systems, or applied AI solutionsStrong Python development and API integration experienceExperience working with structured and unstructured dataExperience deploying systems in cloud environmentsStrong understanding of system architecture and data pipelinesExceptional analytical and problem-solving abilityPreferred QualificationsExperience building document intelligence or contract analysis systemsExperience with retrieval systems and vector databasesExperience automating financial or operational workflowsExperience integrating AI into business operations environmentsExperience in real estate, finance, logistics, or operations-heavy industriesEvidence of research, technical publications, competitive programming, or open-source contributionsTechnical Environment (Representative)Python and API-based architecturesLLM platforms and agent orchestration frameworksCloud infrastructure (AWS, Azure, or GCP)SQL and vector databasesWorkflow orchestration and automation toolsVersion control, logging, and monitoring systemsSuccess MetricsPerformance in this role will be evaluated by:Reduction in manual administrative workloadAutomation coverage across operational workflowsAccuracy and reliability of AI-driven outputsAdoption and usage across departmentsOperational efficiency gains and cost reductionsWork EnvironmentHybrid work model with in-person collaboration in Orange CountyDirect collaboration with executive leadership and operational teamsHigh autonomy in system architecture and implementation decisions