Wizard AI

Data Engineer

• Design and evolve scalable, distributed data infrastructure across cloud platforms
• Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads
• Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem
• Ensure data availability, reliability and quality through monitoring and automated auditing
• Partner with engineering, AI and product teams on data solutions for business critical needs
• Mentor and support data engineers, establishing best practices and code quality standards

Staff Data Engineer, Spark

Backend Engineer

• Hands-on full stack engineering building Node.js and React web applications for Wizard's AI shopping agent and commerce platform
• Design, build and maintain high performing Node.js applications and APIs
• Architect and scale microservices to support a growing commerce platform
• Work with product and cross functional teams to deliver business critical features
• Implement CI/CD pipelines to streamline development and deployment
• Champion best practices in code quality, testing and documentation
• Mentor teammates and provide technical guidance and feedback

Senior Software Engineer – Fullstack, Node.js, React

Machine Learning Engineer

• Design, build and maintain infrastructure for deploying, monitoring and updating machine learning models at scale
• Automate end to end model pipelines from ingestion and preprocessing to training, validation and deployment
• Implement monitoring for model performance, accuracy, drift and latency
• Ensure ML systems are secure, cost efficient and scalable in production
• Document and continuously improve ML infrastructure, workflows and tooling
• Partner with ML engineers, scientists and product to move models seamlessly from research to production
• Apply software engineering best practices (testing, CI/CD, version control) to ML systems

Senior MLOps Engineer

Software Engineer

• Join Our Talent Pool
• We’re always on the lookout for exceptional talent and make space when the right people come along before the right roles
• If you’re passionate about building at the forefront of AI, excited by complex challenges, or driven to design better experiences for real users, the company wants to hear from you
• Joining the Talent Pool means you’ll be first in line when relevant opportunities open up
• Open to fullstack engineers, data scientists, machine learning engineers, and other skilled candidates to help shape conversational commerce and agentic AI
• Apply to the Talent Pool and tell the team what you’re great at and what you want to do next

Staff Data Engineer, Spark

Senior Software Engineer – Fullstack, Node.js, React

Senior MLOps Engineer

Engineering