Senior Python Engineer

🕒 April 8

🇺🇸 United States – Remote

💵 $200k - $225k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Wizard

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🛍️ eCommerce

🛒 Retail

💰 $50M Series A on 2021-10

Artificial Intelligence • eCommerce • Retail

Wizard AI is a company that provides a tailored shopping experience powered by artificial intelligence. It offers a unique text-based service that curates product recommendations across the internet, utilizing AI models that understand user preferences to predict needs and make personalized suggestions. Wizard AI simplifies shopping by finding, ordering, and tracking products, as well as managing returns through SMS communication. This service is designed to save time and improve the convenience of online shopping by efficiently juggling product data, customer reviews, and other digital content to make informed recommendations for customers.

📋 Description

• Design and build APIs and backend services that power AI-driven product experiences • Develop systems that integrate LLMs and ML models into production workflows • Build and maintain data pipelines supporting training, inference, and evaluation • Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features • Improve system performance, reliability, and scalability across services • Contribute to experimentation and feedback loops that improve model and product performance • Debug complex production issues and drive root cause resolution • Raise the bar on code quality, system design, and engineering standards

🎯 Requirements

• 5+ years of experience in software engineering, with strong backend focus • Strong proficiency in Python and experience building production-grade systems • Experience designing APIs and service-oriented architectures • Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar) • Familiarity with databases (SQL and/or NoSQL) and data-intensive systems • Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure • Exposure to containerization and orchestration (Docker, Kubernetes) • Ability to operate in ambiguity and take ownership of loosely defined problems • Strong product mindset with focus on real user outcomes • Clear communication and ability to collaborate across engineering, ML, and product

🏖️ Benefits

• Equity in the form of stock options • Medical, dental, and vision coverage • 401(k) plan • Flexible PTO and company holidays • Fully remote work within the United States • Periodic company offsites and team gatherings