- Design, build, and deploy AI-enabled applications using LLMs, prompt engineering, retrieval-augmented generation (RAG), agentic workflows, and evaluation frameworks to address business and operational requirements.
- Develop document intelligence solutions using OCR and LLM-based extraction, classification, and validation to automate the processing of permit applications, contracts, compliance documents, and other operational records.
- Design and implement API integrations connecting permit databases, CRM, finance/ERP, e-signature, payment gateways, government-facing systems, and other enterprise platforms using REST APIs and webhooks.
- Build and orchestrate end-to-end automated workflows using platforms such as n8n, Zapier, Make, Airflow, or custom Python services, including appropriate routing, approvals, notifications, and exception handling.
- Develop RPA solutions to automate activities within legacy systems, external portals, and applications where API-based integration is unavailable or impractical.
- Develop Python-based services, scripts, data-processing components, and LLM orchestration solutions using appropriate frameworks or direct API integrations.
- Design and maintain SQL databases, data models, and data pipelines to transform permit, contract, inspection, compliance, and operational data into reliable structured datasets.
- Build lightweight internal applications, dashboards, and user interfaces that enable business users to interact with automated workflows, review outputs, manage exceptions, and access operational insights.
- Apply Git-based version control, testing, and CI/CD practices to support controlled, repeatable, and reliable development and deployment.
- Deploy and operate AI, automation, integration, and data solutions on AWS, Azure, or GCP, applying appropriate monitoring, logging, configuration, and error-handling practices.
- Develop reporting and visualization solutions that convert operational data into actionable information for business users and decision-makers.
- Rapidly prototype and iterate technical solutions with business users, prioritizing working solutions, early validation, and continuous improvement while maintaining appropriate engineering standards.
- Work directly with business and operational stakeholders to understand processes, identify automation opportunities, translate requirements into technical solutions, and support successful adoption.
- Evaluate solution performance, build test and evaluation datasets, identify failure modes, and continuously improve the accuracy, reliability, and scalability of deployed AI and automation solutions.
- Apply technical judgment to determine the most appropriate combination of AI, APIs, workflow automation, RPA, data engineering, and custom development for each business problem.