Mid-Level Software Engineer (TypeScript, React, AI)

Alteryx is a company leading the transformation in how work gets done through data, automation, and AI. They are seeking a Mid-Level Cloud Software Engineer to design, build, and maintain a scalable TypeScript application, contributing to a mission-critical UI platform and integrating AI-driven capabilities into user workflows.

Responsibilities:

• Develop and enhance application features using TypeScript and React
• Build intuitive, performant, and accessible user interfaces using design systems and reusable component libraries
• Contribute to and extend shared UI components to ensure consistency and scalability across the platform
• Implement and manage client-side state using modern patterns (no specific framework required)
• Collaborate on integrating AI-powered features into the product experience (e.g., copilots, recommendations, intelligent automation)
• Write clean, maintainable, and well-tested code (unit, integration, and E2E)
• Participate in an agile development process, including sprint planning and retrospectives
• Work closely with Product, UX, and AI partners to define and deliver solutions
• Contribute to code reviews, technical discussions, and engineering best practices
• Support and troubleshoot applications across cloud and desktop environments
• Create and maintain technical documentation and share knowledge across the team

Requirements:

• 2–5 years of experience in cloud software engineering or frontend/full-stack development
• Strong proficiency in TypeScript and React (or similar frameworks)
• Experience working with design systems, component libraries, or shared UI frameworks
• Experience with modern state management approaches (framework-agnostic)
• Familiarity with Git and modern version control workflows
• Solid understanding of software testing practices (unit, integration, E2E)
• Experience working in collaborative, cross-functional teams
• Working knowledge of CI/CD pipelines and cloud platforms
• Exposure to AI concepts or tools, such as: Working with LLM APIs (e.g., OpenAI, Azure OpenAI, etc.), Building AI-assisted features (chat, summarization, recommendations, etc.), Prompt design, evaluation, or basic model integration
• Familiarity with Material UI (MUI) or similar component libraries
• Experience contributing to or maintaining a design system at scale
• Hands-on experience building AI-powered product features
• Experience with Docker and Kubernetes