Wizardcommerce
Senior Python Engineer
Remote - USA · Senior
Sponsorship not specified$200k-$225kDetected 104 days ago
PythonBackend DevelopmentSQLNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningData EngineeringLLMsA/B TestingCommunication
About the role
- This role sits at the intersection of backend engineering, machine learning, and product, and is focused on turning AI capabilities into reliable, production-ready systems.
- You won't be training models, but you will make them work in the real world.
Responsibilities
- 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
- Debug complex production issues and drive root cause resolution
- Raise the bar on code quality, system design, and engineering standards
- Systems are designed with strong observability, enabling rapid debugging and improvement
Requirements
- 5+ years of experience in software engineering, with strong backend focus
- Strong proficiency in Python and experience building production-grade systems
- Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure
Compensation
- Fully remote work within the United States
- Periodic company offsites and team gatherings
- The expected base salary range for this role is $200,000-$225,000 USD and will vary based on skills, experience, role level, and geographic location.
- Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.
- In addition to base salary, Wizard offers:
- Wizard is committed to fair, transparent, and competitive compensation practices.
Benefits
- Equity in the form of stock options
- Medical, dental, and vision coverage
- Flexible PTO and company holidays
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This listing is sourced directly from Wizardcommerce's careers page and normalized into a canonical job model.