• Design and develop responsive and user-friendly WordPress websites using HTML, CSS, JavaScript, and PHP • Develop custom WordPress themes and plugins to meet client requirements • Optimize WordPress sites for speed, performance, and security • Collaborate with design teams to create visually appealing and intuitive interfaces • Design and develop custom web applications using a variety of programming languages and frameworks, such as Laravel, React, or Angular • Implement responsive designs that are optimized for various devices and screen sizes • Develop and maintain RESTful APIs to support web applications and mobile apps • Troubleshoot and debug issues with websites and web applications • Stay up-to-date with the latest web development trends and technologies

• You'll brainstorm with Product Managers, Designers, Backend, and Frontend Engineers on your team to conceptualize and build new features for our products. • You’ll produce high-quality results by contributing heavily to team projects that have a significant impact on the business. • You’ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems. • You'll assist our skilled support team and operations team in triaging and resolving production issues. • You'll mentor other engineers and deeply review code. • You’ll improve engineering standards, tooling, and processes

• Collaborate with the development team to design, develop and debug web applications

• Serve as a technical leader and trusted authority on AI-assisted engineering, driving adoption of Copilot, code generation, and LLM-powered tooling across the engineering organization. • Architect and deliver AI-powered product features that improve healthcare outcomes—spanning intelligent automation, clinical decision support, and member-facing experiences. • Design and implement LLM workflows and prompt engineering patterns, ensuring reliable, safe, and scalable AI integrations in production environments. • Lead MLOps initiatives including model deployment pipelines, monitoring, versioning, and lifecycle management in collaboration with data science teams. • Build and maintain full-stack solutions using C# (.NET), React, and Python, with a strong focus on scalability, security, and maintainability. • Define and evangelize engineering best practices for AI integration, code quality, and system design across Staff and Senior engineers. • Collaborate with product, data, and clinical teams to identify high-impact opportunities for AI and machine learning in the healthcare domain. • Conduct design reviews, architecture discussions, and hands-on code reviews to raise the technical bar across the organization. • Mentor and grow senior engineers, fostering a culture of experimentation, ownership, and continuous learning. • Stay at the forefront of rapidly evolving AI/ML tooling, evaluating and recommending emerging technologies relevant to the client.