Software Engineer, Backend Developer, AI Engineer (Applied​/Software)

Overview

Software Engineer — Real Estate eRecording

Location:

Logan, UT

Schedule:

Monday – Friday 8:00 am – 5:00 pm
• Onsite

• 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 (Type Script, 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.

• 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+; Type Script, 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.

• 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.