Lead Software Engineer

Twin Health is a company focused on improving and preventing chronic metabolic diseases through AI Digital Twin technology. The Lead Software Engineer will shape the technical direction of their AI-powered platform, driving architectural decisions and leading complex initiatives to enhance clinical operations efficiency.

Responsibilities:

• Design, develop, and scale backend services and RESTful APIs using FastAPI (Python) and Spring Boot (Java)
• Architect and implement AI agents, including prompt engineering, evaluation, and continuous improvement workflows
• Build event-driven systems and well-defined internal APIs to enable reliable, real-time communication across services
• Lead technical architecture decisions in close collaboration with engineering and product leadership
• Drive product metrics and measurable business impact
• Own end-to-end delivery of projects, including design, implementation, testing, deployment, and operational support
• Manage and improve CI/CD pipelines to enable safe and rapid feature releases
• Monitor, troubleshoot, and optimize system performance to support high throughput and rapid growth
• Partner closely with Product, Design, DevOps, and AI/ML teams to align technical execution with Copilot product goals, and effectively communicate trade-offs and progress to stakeholders
• Mentor and guide engineers within the Copilot team to uphold high standards of technical excellence
• Write clean, testable, and maintainable code following engineering best practices
• Take on additional responsibilities as needed
• Other duties as assigned

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related STEM field (Master's preferred)
• 6+ years of professional software engineering experience (backend or full-stack)
• Strong proficiency in Python and/or Java, with hands-on experience building microservices using FastAPI and/or Spring Boot
• Deep understanding of API design (REST), authentication/authorization (OAuth2, JWT), and data modeling
• Experience designing event-driven systems and distributed architectures
• Practical experience working with AI systems, including prompt engineering or AI service integration
• Demonstrated leadership experience through prior projects or roles
• Strong debugging and performance optimization skills in production environments
• Excellent written and verbal communication skills
• Experience with AWS, Kubernetes, and CI/CD pipelines is a plus
• Prior experience working on AI-native products or internal developer platforms is a plus
• Experience working in fast-paced, high-growth startup environments