Software Engineer

Overview Software Engineer — Real Estate eRecording Location: Logan, UT Schedule: Monday – Friday 8:00 am – 5:00 pm • Onsite What you’ll do Design, build, and maintain scalable services and APIs using C#, .NET / .NET Core (ASP.NET Core Web API) that power document submission, status tracking, and county integrations. Model, query, and optimize data in Microsoft SQL Server — complex schemas, stored procedures, indexing, and performance tuning against high-volume transactional workloads. Develop responsive, maintainable front-end applications in Angular (TypeScript, RxJS, HTML/SCSS) for client portals and internal operations tooling. Build and integrate AI/ML-powered capabilities — document classification, intelligent data extraction (OCR/IDP), validation, and anomaly detection — to automate and accelerate the eRecording workflow. Integrate AI services and APIs (e.g., Azure AI / Cognitive Services, OpenAI, or comparable LLM and ML platforms) into production .NET applications, including prompt design, retrieval, and evaluation of model output for accuracy and reliability. Integrate with external county recording jurisdictions and partners through varied formats and protocols (REST/SOAP web services, XML, secure file transfer), accounting for jurisdiction-specific variations. Translate eRecording domain requirements — document types, fee calculations, submission packages, rejections and resubmissions — into reliable, auditable software. Write clean, testable code with unit and integration tests; participate in code reviews and uphold engineering standards. Partner with product, operations, and QA in an Agile/Scrum environment to deliver iteratively. Qualifications 2-3 years of professional software development experience building production web applications. Demonstrable expertise in C# and .NET / .NET Core, including building and consuming RESTful Web APIs. Microsoft SQL Server skills: schema design, T-SQL, stored procedures, and query/performance optimization. Angular experience (Angular 2+; TypeScript, component architecture, RxJS) and comfort across the full front-end stack (HTML5, CSS/SCSS, JavaScript). Hands-on experience applying AI/ML in production software — integrating ML models, LLMs, or AI APIs into real applications, and a working understanding of where these tools add value (and where they don\'t). Experience designing and consuming web services and integrating with third-party or external systems. Familiarity with version control (Git), CI/CD pipelines, and modern SDLC practices. A pragmatic, ownership-minded approach: you can take a problem from ambiguous requirement to shipped, supported feature. Strong communication skills and the ability to collaborate across technical and business teams. Nice to Have Experience in real estate, title, mortgage, legal-tech, fintech, or document/records management domains — especially eRecording or e-filing. AI/ML background: intelligent document processing (IDP), OCR, NLP, RAG (retrieval-augmented generation), vector databases, or ML model training and deployment (MLOps). Cloud experience (Azure preferred — App Services, Azure SQL, Azure AI/OpenAI Service, Service Bus, Functions). Microservices, message queues, and event-driven architecture. Entity Framework / EF Core, Dapper, or other ORMs. eRecording standards / PRIA familiarity. Containerization (Docker) and orchestration. Automated testing frameworks and a test-driven mindset. #J-18808-Ljbffr