Seek

The Senior Backend Engineer will be responsible for building and maintaining robust backend systems powering the ML cloud platform and analytics app store, focusing on developing scalable, high-performance APIs using Python and FastAPI. This involves managing PostgreSQL databases via SQLModel/SQLAlchemy, optimizing CRUD operations, and ensuring seamless integration with cloud warehouses like Snowflake.

The engineer will build and maintain user interfaces for Company’s app store and ML cloud platform using React and TypeScript, focusing on high-performing, responsive, and accessible experiences. Responsibilities also include customizing UI components, integrating APIs with backend engineers, and participating actively in code reviews and sprint cycles.

The role involves building full-stack features using React and Python, designing backend services to integrate AI models, and creating intuitive, AI-powered workflows like conversational querying and guided analytics. Responsibilities also include connecting these features to Snowflake and ensuring platform reliability at scale through testing and CI/CD.

This role involves serving as a technical leader to integrate cutting-edge AI into production at scale, shaping technical direction, setting integration patterns, and mentoring engineers. Responsibilities include building full-stack features using React and Python, designing backend services for AI integration, and defining best practices for LLMs and semantic modeling.

The role involves exploring customer and partner datasets, developing predictive models, and applying machine learning techniques to uncover trends and insights that improve industry practices. Responsibilities include analyzing large datasets, constructing data processing workflows, performing data enrichment, and building interactive dashboards.

The role involves exploring customer and partner datasets to develop predictive models and apply machine learning techniques to uncover trends and insights that improve industry practices. Responsibilities include analyzing large datasets, constructing data processing workflows, performing data enrichment, developing complex SQL queries and Python scripts, and creating interactive dashboards.

The engineer will build and maintain user interfaces for the company's app store and ML cloud platform using React and TypeScript, focusing on high-performing, responsive, and accessible experiences. Responsibilities also include customizing UI components, integrating APIs with backend engineers, and participating actively in code reviews and sprint cycles.

The role involves building full-stack features using React and Python, designing backend services to integrate AI models, and creating intuitive, AI-powered workflows like conversational querying and guided analytics. Responsibilities also include connecting these features to Snowflake and ensuring platform reliability at scale through testing and CI/CD.

The Senior Backend Engineer will be responsible for building and maintaining robust backend systems for the ML cloud platform and analytics app store, focusing on developing scalable, high-performance APIs using Python and FastAPI. This involves managing PostgreSQL databases via SQLModel/SQLAlchemy, optimizing CRUD operations, and ensuring seamless integration with cloud data warehouses like Snowflake.

The Principal Software Engineer will serve as a technical leader, shaping technical direction and setting patterns for integrating cutting-edge AI into cloud-native applications at scale. Responsibilities include building full-stack features, designing backend services for AI integration, and mentoring engineers on best practices for AI and system reliability.