Full-Stack & Mobile Application Developer

Summary Fairbanks Morse Technology’s goal is to create secure, mission-driven, advanced, and reliable technology solutions through artificial intelligence, digital technology, smart engineering solutions, automation, and Advanced IOT Solutions. FMT is seeking a Full-Stack AI & Mobile Application Developer to join our FM OnBoard team in a full-time, Beloit based roll You will build and maintain two integrated products as well as any other projects that come up: A full-stack AI-powered AI chat bot with advanced document processing web application in Microsoft Azure Government Cloud, using React on the frontend and Python/Node.js on the backend, integrated with Azure OpenAI for large-scale document processing (text, Excel, and image-based content such as schematics, inspection photos, and scanned technical manuals). The solution will support RAG, agentic workflows with tool use, and OCR, all within a Fed-compliant Azure Gov environment. An offline-first cross-platform mobile application built with .NET MAUI targeting Android, iOS, Windows, and macOS from a shared codebase. The app will consume AI service APIs when online and fall back to cached content and local features when offline to support critical tasks in low-connectivity environments. The ideal candidate has full-stack experience across modern web, AI, and mobile development, plus practical experience deploying and operating workloads in government cloud environments. Principle Duties and Responsibilities Full-Stack AI Application Development Design and build a custom full-stack AI application using React (frontend), Python and Node.js (backend), and Azure OpenAI, deployed in Azure Government Cloud. Implement scalable document processing pipelines that ingest, parse, and extract insight from heterogeneous sources including text documents, Microsoft Excel workbooks, and image-based content (schematics, inspection photos, scanned manuals). Design and deliver retrieval-augmented generation (RAG) pipelines over large technical document corpora — including chunking, embedding, indexing, and retrieval strategies tuned for domain-specific content. Build AI agents with tool-use and function-calling capabilities that execute multi-step workflows on behalf of operators, with appropriate guardrails and human-in-the-loop controls where needed. Implement image analysis and optical character recognition (OCR) workflows using Azure AI Vision, Azure Document Intelligence, or comparable services. Develop and publish secure, versioned REST API endpoints that expose AI capabilities to both the web frontend and downstream mobile clients. Deploy, configure, and maintain services in Azure Government Cloud in line with federal security and compliance requirements. Establish prompt engineering, evaluation, and observability practices to measure and continuously improve model output quality. Mobile Application Development Design, develop, and maintain offline-first cross-platform applications using .NET MAUI, targeting Android, iOS, Windows, and macOS from a shared codebase. Integrate mobile clients with the AI application’s REST API endpoints, implementing authentication, request retry, and caching strategies suited to intermittent connectivity. Optimize local storage, data synchronization, and offline workflows so applications remain fully usable in low- or zero-connectivity environments. Implement secure data synchronization protocols over Wi-Fi, Bluetooth, and USB. Collaborate with UX/UI designers to deliver intuitive, high-performance interfaces tailored to field operators. Engineering Practices Write clean, maintainable, and secure code across multiple languages and stacks, applying modern testing practices including unit, integration, and automated end-to-end tests. Ensure application security, scalability, and reliability by following industry best practices, including secure handling of model inputs, outputs, credentials, and sensitive content. Produce clear technical documentation cove…