Responsibilities
- Work closely with data scientists, product managers, and software engineers to design and maintain reliable ETL systems that support user-facing product features.
- Participate in shaping architectural direction, developing monitoring tools, and advancing data integrity practices to ensure system resilience and long-term maintainability.
- Help develop a scalable internal platform for managing prompt engineering pipelines and related artificial intelligence workflows.
- Promote and improve engineering standards across the AI and machine learning organization, focusing on code quality, testing rigor, and comprehensive documentation.
Benefits
- Final compensation is determined by several factors such as candidate location, level of experience, and technical qualifications, and may differ from the figures indicated.
- The total compensation package includes stock options, benefits, and additional employment perks.
Compensation
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
