Note: The job is a remote job and is open to candidates in USA. Radiology Partners is pioneering a new imaging paradigm through their AI-native platform, MosaicOS™, designed to enhance clinical efficiency and decision-making in radiology. The Full Stack Software & AI Engineering Lead will oversee the development lifecycle, design and build applications, and provide technical leadership while ensuring high-quality architecture and code execution.
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
Skills
- 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
Benefits
- Competitive Benefits package – Eligibility starts the month after hire, with tiered options to choose from.
- Compensation Reviews, Career Growth Opportunities
- Flexible Remote Schedules
- Generous PTO Plans and Paid Holidays
- Annual discretionary bonus
- Health & wellness coverage options
- 401k benefits
- A broad range of other benefits such as family planning and telehealth (all benefits are subject to eligibility requirements)
Company Overview