Software Engineer Team Lead (AI Healthcare Applications)

Location: Remote

Salary: $123,900–$192,000 annually, plus eligibility for an annual discretionary bonus.

Company

Builds MosaicOS™, a cloud-native AI platform that integrates imaging technologies and healthcare systems to improve radiology workflows, diagnostic quality, operational efficiency, and continuity of care.

What you will do

• Lead end-to-end AI and software development lifecycles for healthcare applications, ensuring clinical usability, safety, data integrity, performance, scalability, and code quality.
• Design and develop full-stack applications with .NET/C#, TypeScript, React or Angular, Node.js, and integrated AI services.
• Architect and scale APIs, microservices, and cloud-native AI systems on AWS, including secure, configurable, reusable, containerized, multi-tenant SaaS platforms.
• Integrate applications with databases, healthcare systems, and third-party APIs while improving reliability, performance, and cost efficiency.
• Provide hands-on technical leadership across architecture, component design, code reviews, documentation, Agile delivery, deployments, production support, and AI-enabled SDLC improvements.
• Coach and develop engineering teams through performance management, career development, and cross-functional collaboration.

Requirements

• At least 5 years of software development experience, including product or platform delivery.
• Strong full-stack development experience with C#, .NET Framework 4.8, RESTful APIs, AI agents, TypeScript, React or Angular, and microservices architectures.
• 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, data architecture, PostgreSQL, and vector databases.
• Strong understanding of AI and software engineering practices, including balancing generative AI, speed to market, maintainability, safety, and appropriate guardrails.
• Bachelor’s degree or equivalent experience in Computer Science, Software or Data Engineering, or a related field preferred; a master’s degree is a plus.

Nice to have

• Experience with HL7v2, FHIR, and DICOM.
• Familiarity with data engineering and management, database administration, similarity search, statistical techniques, Python data packages, embeddings, RAG, data sampling, and cohort analysis.
• Familiarity with general machine learning networks.

Culture & Benefits

• Full-time position requiring 30 or more hours per week.
• Flexible remote schedules.
• Competitive benefits with eligibility beginning the month after hire, including tiered options.
• Compensation reviews and career growth opportunities.
• Generous paid time off and paid holidays, plus health and wellness coverage, 401(k) benefits, family planning, and telehealth options subject to eligibility.