.NET Engineer at MSC Global | Torre

.NET Engineer

You will advance medical imaging technology by engineering AI-first 3D visualization platforms.
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Shared by
Laura Motta
1 day ago

Requirements and responsibilities


We are looking for consultants, who can work on W2 and C2C projects.Title: .NET EngineerLocation: RemoteMust have: .NET Engineer with expertise in Medical Imaging, 3D Visualization, and AI-first engineering, responsible for building scalable imaging platforms using C#, ASP.NET Core, ITK/VTK, DICOM, and modern web technologies.Note: Healthcare experience (ITK/VTK, DICOM and Medical Imaging)Responsibilities:Design, Adopt AI-first development practices leveraging Copilot/LLMs for coding, testing, and documentation.Build reusable prompt libraries, engineering accelerators, and agentic workflows for imaging and platform development.Design and develop a C#-based core 3D visualization library using ITK/VTK.Expose capabilities through JavaScript APIs / SDK layer for web consumption.Ensure clean abstraction between rendering engine (C#) and UI layer (Angular).Define standards for cross-platform API design, versioning, and extensibility.Implement advanced visualization capabilities – MPR, Volume Rendering, 3D Reconstruction, Annotation tools.Lead migration from Fovia 3D library to custom in-house framework.Optimize handling of large DICOM datasets (streaming, caching, progressive loading).Integrate JS APIs into Angular-based universal viewer.Develop high-performance UI components for interactive 3D visualization.Ensure seamless communication between C# backend engine and browser rendering layer.Apply OOP, SOLID, and design patterns for library/SDK development.Optimize rendering performance (CPU/GPU, WebGL) and reduce latency.Use AI-assisted tools for performance tuning, debugging, and defect prevention.Build scalable, cloud-native architecture supporting high-performance imaging workloads.Implement CI/CD pipelines with AI-assisted test generation and validation.Use Docker/Kubernetes for deployment and scalability.Work closely with radiologists and product teams to translate clinical workflows into platform capabilities.Participate in Agile/Scrum with AI-assisted backlog refinement and estimation.Mentor teams on AI-first development, SDK design, and platform engineering practices.Maintain technical documentation, API specifications, and UML diagrams.Ensure effective communication with stakeholders and client teams.