Full-stack Engineer

• Support the technical health and quality of existing features and new AI-powered features, ensuring alignment with overall product goals while maintaining high engineering standards.
• Contribute and support successful sprint planning, execution, and retrospectives for features.
• Own release cycles, ensuring high-quality releases and coordinating sprint reviews and demos.
• Work closely with product management, data science teams, and other engineering teams to define product features, manage project scope, and align on priorities.
• Collaborate with Lead Engineers, Engineering Managers, and Architects: work closely with others to design, develop, and deliver large-scale data applications utilizing LLMs and other AI tools to enhance product delivery.
• Contribute to the continuous improvement of product technologies, ensuring the team remains at the forefront of emerging trends in AI, machine learning, and data science.
• Create comprehensive documentation and training materials to improve team efficiency, ensure knowledge sharing, and facilitate onboarding, particularly in AI technologies.
• Collaborate with DevOps and SaaS Teams: work together with DevOps and SaaS teams to implement and maintain CI/CD pipelines.
• Cultivate a Positive Company Culture: Foster a company culture that values cross-team collaboration and trust.

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