Software Engineer

Software Engineer — Real Estate Erecording

We're hiring a Software Engineer to design and build the platforms behind our real estate eRecording business — the systems that submit, track, and return recorded land documents (deeds, mortgages, liens, releases, and assignments) electronically to county recorders nationwide. You'll work on meaningful slices of a mission-critical platform end to end, from SQL Server data design through.NET Core services to the Angular interfaces our clients and operations teams use every day — and you'll help us responsibly fold AI and machine learning into how documents are classified, validated, and processed.

Some of the things you will be doing:

• 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 the fact that every jurisdiction does things a little differently.
• 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.

What technical skills, experience, and qualifications do you need?

• 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 (Property Records Industry Association) familiarity.
• Containerization (Docker) and orchestration.
• Automated testing frameworks and a test-driven mindset.