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

Principal Data Engineer, PySpark

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

Principal Data Engineer, PySpark

Staff Data Engineer, Spark

Senior Software Engineer – Fullstack, Node.js, React

Senior MLOps Engineer

Engineering