• Collaborate with cross-functional teams to define, design, and ship new features; • Prepare and lead technical refinement sessions for requirements provided by the product team; • Maintain the health and quality of the codebase, balancing delivery of new functionality with resolution of technical debt; • Develop scalable solutions that will be used by millions of users; • Be proactive and critical about monitoring and observability; • Maintain automated tests, including creating new tests when needed; • Mentor and support less senior developers in their professional growth; • Produce technical documentation for new features; • Participate in team ceremonies alongside other team members.

• Develop and implement scalable and performant solutions. • Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. • Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. • Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures. • Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation. • Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable. • Design and implement prompt engineering strategies to effectively guide generative AI models. • Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization. • Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications. • Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI. • Contribute to the development of APIs and interfaces for integrating generative AI capabilities into existing healthcare systems and applications.

• Develop and maintain world-class web applications supporting a robust suite of 3D design interactions. • Orchestrate the availability of our 3D tools to our internal workforce based on supply chain event triggers while matching capability with capacity. • Coordinate the submission and storage of browser based CAD outputs to the cloud and subsequent distribution to our remote manufacturing centers. • Support and develop internal API’s, endpoints and microservices. • Instrument our tools to provide rich data insights that help plan, forecast, and improve capacity or throughput. • Build integrations with 3rd party API’s: Transmit 3D data payloads for processing and retrieve the resultant outputs. • Solve technical problems of moderate scope and complexity. • Craft code that meets our internal standards for style, maintainability, and best practices. Maintain and advocate for these standards through code review. • Advocate for improvements to product quality, security, and performance.

• Maintenance and co-development of core infra products • Manage and supervise cloud computing resources • Lead infrastructure planning and deployment using Terraform • Develop and maintain data processing and visualization systems • Contribute to backend development and integration of auxiliary services (surveys capture) • Troubleshoot and resolve issues related to ongoing deployment projects (cloud provider resources, corrections to survey data) • Assist in the design and implementation of data storage solutions • Contribute to the ongoing improvement of the company's technical stack • Implement and improve caching mechanisms for better performance • Architect and oversee the data analysis pipeline from ingestion to visualization