This is not a role for someone who waits to be told what to do. We want someone who ships things, learns fast, uses AI tools aggressively, and gets excited about solving hard real-world problems with intelligent systems.We are looking for someone who can build an end-to-end native AI system focused on autonomous data scraping, research, intelligent matching, and recommendation generation.The core responsibility of this role is to build a production-ready system that:Scrapes and collects data from websites, portals, documents, and APIs,Research and structures that data automatically,Uses RAG and semantic matching to compare inputs and generate recommendations,Delivers outputs through APIs in a format that is clean, readable, and ready for a GIS developer to use directly.What we needStrong end-to-end experience building AI-powered systems, not just prototypesHands-on experience with agentic AI tools and multi-step workflowsStrong scraping and data extraction skills across web pages, PDFs, and APIsExperience with agentic AI workflows and orchestration tools such as CrewAI, Claude, AutoGen, or similar systemsExperience building RAG pipelines, semantic search, and recommendation logicAbility to design clean datasets and API-ready architecture that are maintainable, resilient, and backed up properly across different environments.Experience with API integrations and delivering structured outputs that other systems can consumeStrong Python and JSON engineering skills and clean, maintainable codeAbility to build systems that run reliably with minimal manual interventionWhat we are building and the ideal profile We are building a spatially aware AI system that turns fragmented regulatory, compliance, and infrastructure data into structured, continuously updated datasets that can power research, matching, and decision-making. The goal is not to build a simple automation flow, but a native AI-enabled system that can autonomously collect data, organize it, reason over it, and return recommendations through production-ready outputs. We are looking for someone who can build this system end to end.This role is responsible for designing and delivering an AI-native data engine that can scrape and ingest data from websites, portals, documents, and APIs, transform it into strong structured datasets, and use retrieval, semantic matching, and agentic workflows to generate useful recommendations. The output must be readable, reliable, and integration-ready for downstream systems, especially GIS platforms and API-based environments. SkillsetAgentic AIPythonData ScrapingWeb AutomationAPI IntegrationRetrieval-Augmented Generation (RAG)Semantic SearchData EngineeringJSONWorkflow AutomationLLM ApplicationsDataset DevelopmentResearch AutomationFastAPI