Principal Software Engineer-Fullstack-CoreAI

Full stack engineers with strong skills in React, Next.js/Remix, TypeScript , Node.js and backend service development. We value engineers who leverage AI-assisted development tools to achieve exceptional velocity and quality—and who are passionate about LLMs, GenAI, and Azure. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years of experience in platform or front-end development using multiple languages and frameworks, including JavaScript, TypeScript, and React- Deep understanding of modern front-end technologies such as NextJS / Remix, SSR, Web Components, and performance optimization techniques Demonstrated proficiency with AI-assisted software development tools and workflows (e.g., AI coding agents, LLM-powered development environments) to solve hard engineering and customer problems Experience working on large-scale, UI-intensive product development Passion for machine learning, artificial intelligence, and data science Leverage modern AI-assisted development practices and tooling to accelerate delivery while maintaining high code quality Architect full stack solutions that span from user experience through to backend data and service layers Develop software using languages such as TypeScript, JavaScript, React, and others Design, develop, and maintain backend services and APIs that support agentic workflows and platform capabilities Collaborate with partner teams to comprehend, define, enhance, and develop AzureML capabilities Respond, resolve, and integrate customer feedback with agility and dedication Lead by example, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents

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