Top Artificial Intelligence Jobs

The Front-End Engineer is responsible for developing and maintaining user-friendly web applications, collaborating with teams, optimizing performance, and writing clean code.

Lead design and build of core infrastructure for enterprise ML: model evaluation/deployment, inference/serving, data storage/retrieval, and production deployment of large-scale reasoning agents. Work with enterprise customers, integrate on-prem systems, and mentor scientists to adopt strong engineering practices and reliability-focused ownership.

The Operations Specialist will process customer designs through analysis pipelines, track design progress, refine procedures, and provide feedback to improve tooling.

As an Administrative Assistant, you will support the CEO and manage office operations, project coordination, and administrative tasks, enhancing productivity with AI tools.

The position is for individuals interested in joining Dryft, focusing on building intelligent systems for automating manufacturing operations without a specific role listed.

Lead and manage embedded software development teams for medical devices, ensuring technical excellence, regulatory compliance, and project management for client success.

The Founding Fullstack Engineer will design, develop, and ship user-facing features end-to-end, collaborating with nuclear experts to create intuitive software that improves regulatory workflows and enhances operational efficiency in the nuclear industry.

The role involves managing and evolving core infrastructure, optimizing database systems, overseeing LLM infrastructure, and improving monitoring and deployment pipelines.

The Solutions Engineer will manage pre-sales activities, customer onboarding, and influence product strategy while ensuring successful implementation and usage of the platform.

The AI Scientist will lead the development of biomolecular modeling technologies, focusing on creating and validating AI models for drug design using experimental feedback.