Top Software Engineer Jobs in Nashville, TN

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 Staff Frontend Engineer will lead frontend architecture, build high-performance React applications, mentor junior engineers, and collaborate closely with product teams to enhance user experiences.

As a Staff Frontend Engineer, you will lead frontend architecture, drive design system evolution, and oversee the migration from legacy to modern frontend while mentoring engineers and delivering AI-native product experiences.

As an Android Engineer, you'll develop features for the stats and insights experience, collaborating with peers and writing clean, maintainable code. You'll contribute to architectural decisions and improve engineering practices while working in a cross-functional team.

The Software Engineer/Senior Software Engineer will design, develop, and deliver high-quality software while supporting team collaboration and continuous improvement. They will engage in code reviews and technical discussions.

Design, build, and maintain resilient full-stack services for distributed financial SaaS systems. Lead end-to-end projects, optimize performance, ensure security and observability, mentor teams, and reduce technical debt.

The Customer Success Engineer will deploy simulation technology in military training environments, develop features, troubleshoot issues, and work closely with clients to ensure effective use of the platform, requiring travel for hands-on support.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.

Develop and maintain software applications on the ServiceNow platform while integrating with cloud technologies. Troubleshoot issues and work with customers on implementations.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.