Wizard - Senior Python Engineer

• 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 • What Success Looks Like • AI-powered features are reliably delivered through scalable, well-architected backend systems • ML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptime • Clear, maintainable APIs and services enable fast iteration across engineering and product teams • Systems are designed with strong observability, enabling rapid debugging and improvement • Engineering decisions consistently balance speed, quality, and long-term scalability • Ideal Background • Ideal Background • 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