Backend Engineer

• Design, develop, and maintain scalable backend services, and APIs that support our AI-driven patient engagement platform
• Build and maintain the infrastructure for deploying, monitoring, and LLM-driven applications in production environments
• Collaborate closely with AI/ML engineers to architect systems that seamlessly integrate conversational AI and predictive models into our platform
• Lead the design of scalable, extensible backend architectures that can evolve with our product capabilities and growing data requirements
• Implement CI/CD pipelines for our application, including automated testing, versioning, and deployment strategies
• Build reusable code libraries, components, and frameworks to improve development speed and quality
• Implement engineering best practices for secure, scalable, and maintainable code
• Leverage cloud services (GCP, Azure, AWS) to build cost-effective, scalable infrastructure for both traditional web services and ML workloads
• Participate in code reviews and help establish development standards
• Troubleshoot, debug, and resolve issues, ensuring high availability and performance
• Work with product, operations, and clinical teams to translate business requirements into technical solutions

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