Top Artificial Intelligence Software Engineer Jobs

The VP of Engineering will scale the engineering organization, architect systems for growth, lead AI-driven innovations, and align engineering with business priorities.

The role involves developing software for optical test automation, managing data pipelines, collaborating across teams, and enhancing testing efficiency for silicon photonics.

The Senior Software Engineer will design, develop, and maintain backend applications and systems, mentor junior engineers, and engage with stakeholders to deliver quality solutions.

As an ML Infrastructure Engineer, you'll develop platforms and solutions for running ML jobs efficiently, establish CI/CD practices, and lead initiatives in technology alignment.

As a Backend Engineer, you will develop core components for an AI product, ensuring reliability, scalability, and performance while mentoring the engineering team.

The Principal Software Architect will shape Syndio's technology platform, guiding integration and architecture to enhance AI-driven compensation solutions and mentoring teams for optimal system design.

Forward Deployed Engineers work with customers to design and implement data integration solutions using Rilla's conversation intelligence software, engaging directly with executives and managing high-stakes projects.

As a Research Engineer, you'll lead and optimize large-scale synthetic data generation and AI inference pipelines, while contributing to open-source projects and publishing research.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

The Full Stack Software Engineer will collaborate with forward-deployed engineers to improve product UX, build intuitive interfaces, and influence product direction while working in a dynamic startup environment.