Full Stack Software & AI Engineering Team Lead

Radiology Partners is pioneering a new imaging paradigm through its AI-native platform, MosaicOS™, designed to enhance clinical efficiency and diagnostic quality. The Full Stack Software & AI Engineering Team Lead will oversee the AI/Software Development Lifecycle, focusing on architecture, code quality, and the development of full-stack applications while providing technical leadership to the team.

Responsibilities:

• Lead end-to-end AI/Software Development Lifecycle (SDLC), ensuring strong architecture, code quality, and technical execution across the team
• Design and build full-stack applications using .NET 8/9+, .NET Framework 4.8, C#, React/Angular, TypeScript, integrating AI services
• Develop and scale APIs, microservices, and AI-powered backend systems (containerized clusters, cloud-native on AWS)
• Architect multi-tenant, SaaS-based, configurable and reusable systems with strong scalability and security principles
• Integrate with databases, external healthcare systems, and third-party APIs/services
• Optimize performance, reliability, and cost-efficiency, including adoption of AI tools to streamline SDLC operations
• Provide technical leadership (code reviews, documentation, Agile practices) and support production systems, deployments, and issue resolution

Requirements:

• Bachelor's degree (or equivalent experience) in Computer Science, Software / Data Engineering, or related field preferred, Master degree a plus
• Minimum 5+ years of experience in software development, with exposure to product or platform delivery
• Solid understanding of AI software development best practices, and its trade-offs between generative code practices/time-to-market and maintenance/safety
• Strong hands-on expertise in C#, .NET 8/9+, .NET Framework 4.8, building high-quality, maintainable software
• Proficiency in modern frontend development using TypeScript, React, Angular, or Blazor
• Experience designing and building RESTful APIs and service-oriented/microservices architectures
• Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable distributed systems
• Experience with AWS cloud services, CI/CD pipelines (GitHub Actions), and version control (Git/GitHub)
• Familiarity with AI development tools (Copilot, Claude) and frameworks (LangGraph, MCP, Strands) plus AI/LLM best practices
• Strong understanding of PostgreSQL, data modeling, and modern data techniques (RAG, embeddings, vector DBs)
• Knowledge of secure software development (OAuth2, OIDC, Okta, Azure AD), automated testing (MSTest) healthcare standards (HL7v2, FHIR, DICOM) is a plus