Top Remote Artificial Intelligence Software Engineer Jobs

As a Senior Software Engineer (FDE), you'll build and deploy AI solutions, collaborate with teams, manage technical projects, and optimize workflows while interfacing with clients.

As a Senior Software Engineer, you will design and optimize scalable cloud-native systems, code in Python, and collaborate with cross-functional teams to enhance healthcare data processing and outcomes.

As a Mid-Level Full Stack Developer, the role involves building and maintaining web applications, implementing new features, and optimizing performance using Ruby on Rails in a remote setting.

The Senior Full Stack Developer will build end-to-end solutions, collaborate in a remote environment, and write technical documentation. The role requires expertise in Ruby on Rails and various programming paradigms.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

The Engineering Manager leads engineering teams to deliver software, manages talent development, ensures project alignment with business goals, and promotes best practices.

The Sr. Full Stack Engineer will deliver scalable web solutions, optimize performance and security, mentor engineers, and collaborate on platform evolution.

The Director of Software Engineering leads and manages software engineering teams, sets technical strategy, enforces coding standards, and oversees project delivery in alignment with organizational goals.

The Senior Staff Software Engineer will architect and develop the Ruby on Rails backend, oversee technical decisions, enhance the React frontend, and drive improvements for the healthcare platform.

The role involves developing secure web applications, providing technical leadership, and participating actively in Agile practices within a diverse team.

The role involves leading engineering teams and strategies for AI-powered applications, ensuring integration of ML capabilities into user-friendly systems across various platforms while promoting a culture of technical excellence.