Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Develop and maintain enterprise-class Java backend software for centralized management of hyper-converged data center products. Collaborate across architects, product, QA and systems teams in an Agile/Scrum environment to design, integrate and deliver features, using Java, Python, Spring, Cassandra and VMware technologies. Troubleshoot complex technical issues and drive code quality, API design and automation of data center infrastructure.

Designing and building backend services for an AI-native billing platform, integrating AI into workflows, leading code reviews, and mentoring engineers.

As a Senior Frontend Engineer, you'll build and maintain a fraud prevention platform UI using ReactJS, collaborating with backend teams and ensuring code quality through tests and CI/CD processes.

Own technical solutioning from discovery through implementation for enterprise customers, especially in Energy. Design end-to-end cloud/edge/device architectures, lead technical workshops, produce proposals and SOWs, integrate solutions with enterprise systems (APIs, identity, GIS, robotics), partner with Product and Delivery, support pilots and deployments, and maintain repeatable demos to drive commercial outcomes.

The Solutions Architect will lead VAST Data's strategy with Microsoft Azure, designing solutions and collaborating with engineering teams to optimize offerings, ensuring readiness and innovation for AI, ML, and enterprise workloads.

The Senior Frontend Engineer will design and implement web interfaces, ensuring performance, scalability, and maintainable code while collaborating with design and product teams.

Seeking a Senior Software Engineer with 8+ years experience to build applications on an AI platform, manage junior engineers, and drive technical decisions.

Lead the design and implementation of systems for a real-time ML-based advertising stack, mentor engineers, and drive architectural direction.

Lead a 0->1 product initiative across frontend, backend, APIs, and data integrations. Define product architecture and data models, partner with Product and stakeholders, iterate rapidly through experiments, and ship reliable, customer-facing AI-augmented features that drive adoption.