Applied AI Systems Engineer
2 days ago
Irvine
Position Title: Applied AI Systems Engineer Location: Orange County, California (Hybrid) Reports To: Head of Operations Position Summary This 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 Objectives • Build an internal AI platform that automates high-volume operational workflows, • Reduce manual processing time and administrative overhead, • Improve accuracy, speed, and decision visibility across departments, • Establish scalable systems that support portfolio growth without proportional staffing increases Primary Responsibilities • AI Platform Architecture & Development, • Design and deploy AI agents to automate operational and administrative workflows, • Build LLM-powered systems for document review, data extraction, and decision support, • Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs, • Implement evaluation, monitoring, and continuous improvement frameworks Lease & Document Intelligence Automation • Build tools to extract key lease terms, obligations, and risk clauses, • Automates lease abstraction and document comparison workflows, • Develop compliance and deadline tracking systems, • Enable searchable knowledge retrieval across lease and legal documents Leasing & Asset Management Automation • Automate LOI comparison and deal workflow summaries, • Build dashboards summarizing tenant performance, lease milestones, and risk exposure, • Support market intelligence and tenant prospecting research, • Develop underwriting support and reporting tools Property Management & Financial Workflow Automation • Automate CAM reconciliation data processing and variance detection, • Streamline tenant reporting and communication workflows, • Track vendor contracts, compliance deadlines, and service obligations, • Extract and structure financial data from operational documents Data Infrastructure & Knowledge Systems • Structure internal documents and data for AI retrieval and automation, • Build document ingestion, indexing, and retrieval pipelines, • Implement vector search and knowledge retrieval systems, • Maintain data integrity, access control, and auditability Systems Integration & Deployment • Integrate AI tools with property management, accounting, CRM, and document platforms, • Deploy systems within secure cloud environments, • Implement logging, monitoring, performance, and cost controls, • Ensure reliability and scalability of deployed systems Collaboration & Implementation • Translate operational workflows into technical automation solutions, • Work directly with leadership to prioritize automation opportunities, • Train teams and implement adoption workflows, • Establish standards for responsible and secure AI usage Required Qualifications • Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline, • Demonstrated success in a rigorous academic or research environment, • 3–7+ years building production software, automation systems, or applied AI solutions, • Strong Python development and API integration experience, • Experience working with structured and unstructured data, • Experience deploying systems in cloud environments, • Strong understanding of system architecture and data pipelines, • Exceptional analytical and problem-solving ability Preferred Qualifications • Experience building document intelligence or contract analysis systems, • Experience with retrieval systems and vector databases, • Experience automating financial or operational workflows, • Experience integrating AI into business operations environments, • Experience in real estate, finance, logistics, or operations-heavy industries, • Evidence of research, technical publications, competitive programming, or open-source contributions Technical Environment (Representative) • Python and API-based architectures, • LLM platforms and agent orchestration frameworks, • Cloud infrastructure (AWS, Azure, or GCP), • SQL and vector databases, • Workflow orchestration and automation tools, • Version control, logging, and monitoring systems Success Metrics • Performance in this role will be evaluated by:, • Reduction in manual administrative workload, • Automation coverage across operational workflows, • Accuracy and reliability of AI-driven outputs, • Adoption and usage across departments, • Operational efficiency gains and cost reductions Work Environment • Hybrid work model with in-person collaboration in Orange County, • Direct collaboration with executive leadership and operational teams, • High autonomy in system architecture and implementation decisions