Software Engineering Team Lead - AI Healthcare Applications

Mosaic Clinical Technologies develops AI-native medical imaging technology. The Software Engineering Team Lead leads end-to-end AI and software development for healthcare applications, designs and scales cloud-native systems, and provides hands-on technical and people leadership to engineering teams.

Responsibilities:

• 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

Requirements:

• 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
• 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
• Bachelor's degree (or equivalent experience) in Computer Science, Software / Data Engineering, or related field preferred
• Master degree a plus
• HL7v2, FHIR, and DICOM experience is a plus
• 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