Top Remote Artificial Intelligence Software Engineer Jobs

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

The Principal Architect will design the data, knowledge, and skills layers for a data platform, ensuring high quality data management and compliance while enabling AI capabilities.

As a Senior Software Engineer in Growth, you'll drive revenue through technology, collaborating with cross-functional teams to build solutions and products that enhance customer growth and operational efficiency. You'll utilize your skills in full stack development, leveraging data for impactful decisions while mentoring junior engineers.

As a Partner Engineer, you will build integrations for Sonar's partner ecosystem and enhance code quality and security solutions, improving developer workflows.

The role involves maintaining and modernizing the Rails stack, improving performance and reliability, and building internal tooling to support scalable infrastructure.

The Field Service Engineer is responsible for installing and supporting WatchGuard Video applications and hardware, solving technical issues, and training users while traveling up to 50% within the Eastern Region.

As a Senior Software Engineer in Trust & Safety, you'll analyze threats, design systems for abuse detection, and collaborate with teams to implement scalable defenses.

The role involves leading Azure delivery projects, assessing applications for migration, defining technical visions, creating architecture documentation, and collaborating with teams to scope engagements.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

As a Senior Staff Engineer, Data, you'll lead the design and implementation of FloQast's core data platform, ensuring scalability and reliability. You'll define standards for data ingestion and governance while collaborating with multiple teams and mentoring engineers.