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# Software Engineer Team Lead - AI Healthcare Applications

- **Company:** Radiology Partners
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $123,900 - $192,000
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, C Sharp (Programming Language), Software as a Service, Cloud Engineering, Software Quality, Code Review, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Integrity, Dicom, Github, Python (Programming Language), Key Management, PostgreSQL, Machine Learning, Node.Js, Systems Development Life Cycle, Mstest, Software Construction, Software Engineering, TypeScript, ReactJS, Fast Healthcare Interoperability Resources, Retrieval-Augmented Generation, Reliability of Systems, Agentic-AI, AI Platforms, AngularJS, Kubernetes, Information Technology, Playwright, Restful APIs, Docker, Microservices
- **Published:** November 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dd1424e494ea08ab

## About the Role

* 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 experience in product or platform delivery
 * Strong full-stack development experience with C#, .NET Framework 4.8, RESTful APIs, AI agents, Typescript, React/Angular and microservices architectures.
 * HL7v2, FHIR, and DICOM experience is a plus.
 * Strong understanding of AI/software engineering best practices, including balancing generative AI, speed to market, maintainability, safety, and appropriate guardrails.
 * Hands-on experience with AWS, Docker, Kubernetes, CI/CD pipelines, and automated testing, including GitHub Actions, MSTest, Playwright, or equivalent tools.
 * Knowledge of secure software development and data architecture, PostgreSQL, and vector databases

PREFERRED PROFESSIONAL SKILLS AND EXPERIENCE

 * Familiarity with data engineering and management concepts and tools - database administration, similarity search & statistical techniques (e.g. python data packages, use of embeddings, RAG, data sampling and cohort analysis)
 * Familiarity with general machine learning networks a plus

## Description

* Lead end-to-end AI/software development lifecycles (AIDC/SDLC) for healthcare applications, ensuring clinical usability, safety, data integrity, performance, scalability, and code quality.
 * Design and develop full-stack applications using .NET/C#, Typescript, React/Angular, Node.js, and integrated AI services.
 * Architect and scale APIs, microservices, and cloud-native AI systems on AWS, including containerized, multi-tenant SaaS platforms built for security, configurability, and reuse.
 * Integrate applications with databases, healthcare systems, and third-party APIs/services, while optimizing system reliability, performance, and cost efficiency.
 * Provide hands-on technical leadership across architecture, component design, code reviews, documentation, Agile development, deployments, production support, and AI-enabled SDLC improvements.
 * Lead and develop engineering teams through coaching, performance management, career development, and cross-functional collaboration, fostering strong team engagement, productivity, and retention.