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Full Stack and Mobile App Developer

Job in Beloit, Rock County, Wisconsin, 53511, USA
Listing for: Fairbanks Morse Defense
Full Time position
Listed on 2026-07-31
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

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.
  • 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.
  • 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 covering architectures, APIs, deployment procedures, and prompt/agent specifications.
  • Diagnose and resolve issues promptly across the full stack — frontend, backend, AI services, and mobile client.
  • Any other duties as the job requires
Qualifications and…
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