As a Platform Architect, you will design and architect the platform infrastructure while ensuring scalability and reliability. You will collaborate with research teams and integrate new technologies to enhance platform capabilities, developing architectural guidelines and best practices.

As a Solution Architect, you will design applied AI solutions, support sales with technical expertise, act as a consultant for platform capabilities, and develop technical documentation and blueprints while collaborating with clients to understand their needs.

The Senior Software Engineer will develop and enhance platform capabilities, focusing on designing, coding, and maintaining features for AI applications. Responsibilities include collaborating with architects, writing clean code, conducting code reviews, and resolving software issues.

As a Site Reliability Engineer, you will ensure the reliability and uptime of the platform by monitoring performance, managing monitoring tools, responding to incidents, and collaborating on infrastructure stability.

As a Data Engineer focused on Applied AI, you'll collaborate with clients to gather data requirements, extract and preprocess data, develop ETL processes, and ensure compliance with data security regulations to facilitate AI applications.

As a Data Engineer, you will be responsible for data gathering, cleansing, and preparation for AI model consumption, ensuring high-quality data availability for research and development. Responsibilities include data collection, preprocessing, developing data pipelines, collaborating with machine learning engineers, and implementing efficient data storage solutions.

As a Front-End Developer, you will implement UI and UX designs for AI applications by creating user-friendly interfaces, optimizing web applications, and maintaining existing codebases while collaborating with designers to ensure consistency.

The Full Stack Developer will develop back-end services and APIs, create front-end user experiences, integrate data sources, and ensure software scalability for AI applications. Collaboration with architects and team members is essential to meet client needs effectively.

As a Research Engineer, you will innovate and explore new AI models and applications, collaborate with teams to integrate research, publish findings, and stay updated with advancements in AI and machine learning.