Lead Software Engineer

Twin Health is dedicated to improving and preventing chronic metabolic diseases through AI Digital Twin technology. They are seeking a Lead Software Engineer to shape the technical direction of their AI-powered platform, focusing on backend engineering and system integrations to enhance clinical operations.

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
• 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
• This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
• Master's degree in Computer Science, Engineering, or related STEM field
• Experience with AWS, Kubernetes, and CI/CD pipelines
• Prior experience working on AI-native products or internal developer platforms
• Experience working in fast-paced, high-growth startup environments