Top Artificial Intelligence Software Engineer Jobs

The Solution Architect will lead AI/ML solutions for federal clients, aligning technology with mission requirements, and provide technical leadership in proposals and integrations.

The Senior Software Engineer will lead the design and delivery of core capabilities for an automated investigation platform, integrating with security tools and ensuring quality in software development. Responsibilities include mentoring, overseeing technical direction, and participating in on-call rotations.

Develop scalable applications for an AI-driven Talent Intelligence Platform, focusing on both front-end and back-end development, while integrating AI features.

As a Senior Data Engineer, you will develop efficient data pipelines, ensure data integrity, optimize performance, and collaborate with various teams in a dynamic healthcare environment.

Design, develop, and maintain software in a Java environment. Collaborate with cross-functional teams, troubleshoot complex issues, and optimize performance.

The Implementation Engineer builds and configures workflows on the Tonkean platform, troubleshooting issues, teaching best practices, and ensuring seamless onboarding for users.

Provide technical support for search technology, troubleshoot complex issues, mentor junior engineers, and enhance system performance for managed services.

The role involves owning the Android SDK and React Native bindings, managing design and development, solving performance issues, and enhancing CI/CD processes for real-time communications.

The Staff Engineer will lead the technology for the clean energy transaction platform, focusing on architecture, scalability, and efficient project workflows. Responsibilities include designing full-stack features, improving trust and efficiency in transactions, mentoring engineers, and collaborating across functions.

As a Senior Software Engineer, you will design and maintain microservices, develop cloud software, build scalable services, and lead projects while collaborating with teams on automation and reliability.