Software Engineer – Applied AI, Geodata Systems & Data Transfer (Full-Time / m/f/d)

About Project Iris Project Iris is an applied research and technology initiative dedicated to automated spatial data analysis, cadastre intelligence, infrastructure mapping, and open-source data modeling. Together with our commercial transfer network (including RE-Managers GmbH), we bridge the gap between academic data science, resilience research, and practical real-world application. Complex geospatial and resilience data models are deployed into active enterprise environments, stakeholder portals, and infrastructure tools. The resulting real-world usage and performance metrics are continuously validated and fed back into our open research models. In this role, you turn algorithmic frameworks and spatial datasets into robust, production-ready digital architectures. Your Focus & Responsibilities - Geospatial & Core Data Modeling: Develop and refine automated pipelines for spatial datasets, open-source cadastre records, and environmental scoring algorithms using Python. - AI-Assisted Full-Stack Integration: Transform algorithmic logic into high-performance FastAPI backends and connect them with modern React/Next.js frontends (leveraging cutting-edge tools such as v0.dev, Cursor, and Windsurf). - Applied Transfer & Enterprise Workflows: Implement real-world pilot applications by connecting data models to practical workflows (e.g., automated property screening, municipal portals, and ERP/Odoo interface connections for infrastructure). - Multi-Tenant Architecture & Cloud Deployment: Package services into robust Docker multi-container environments and deploy them on secure European/Swiss server infrastructure (Infomaniak VPS) with strict Row-Level Security (RLS) and data privacy standards. - Continuous Feedback Architecture: Establish data pipelines that capture operational feedback from commercial deployments to refine and advance the research models. What We Are Looking For - Technical Background: Degree in Computer Science, Geoinformatics, Software Engineering, Data Science, or equivalent practical industry experience. - Core Technical Skills: - Solid programming foundation in Python (FastAPI, Pandas, data handling) and/or modern Web technologies (TypeScript, React, Next.js). - Working knowledge of relational databases (PostgreSQL) and containerization (Docker / Docker Compose). - Practical experience or strong interest in AI-assisted development tools (Cursor, v0.dev, LLM APIs). - Mindset: Strong analytical curiosity, proactive problem-solving attitude, and a clean-code engineering approach. - Eligibility: Open to local applicants and international candidates currently in Germany (e.g., Chancenkarte / Opportunity Card, Job-Seeker Visa, or EU Work Permit). - Languages: Professional working proficiency in English (required); German language skills are a plus.