Top Artificial Intelligence Software Engineer Jobs

The Sr. Software Engineer will develop enterprise software solutions, focusing on new features, UI resources, and support production issue resolutions while collaborating with US and remote teams.

As a Full-Stack Software Engineer, you'll develop applications using Next.js and Node.js, support AWS infrastructure, and own end-to-end fixes in your code.

Lead design, development, delivery, and maintenance of high-performance web applications for Provider Directory and Scheduling. Collaborate cross-functionally, mentor engineers, resolve performance and concurrency issues, build integrations with EHRs, and improve reservation/resource-sharing systems to ensure secure, well-tested, and documented solutions.

Build and scale high-performance, data-driven React web applications and visualization-heavy, map-based interfaces. Integrate with REST/GraphQL APIs, optimize rendering for real-time large datasets, contribute to frontend architecture, reusable UI systems, testing, and cross-functional collaboration to support mission-critical workflows.

Design, build, and maintain automated migration workflows to onboard dental practices. Implement C#, .NET, and PowerShell scripts, manage ETL processes and SQL data transformations, troubleshoot live routines, leverage AI tools to speed development, and produce technical documentation to ensure secure, reliable migrations.

Design, develop, and support UiPath RPA solutions including unattended robots using Office365, APIs, AiFabric, Document Understanding and OCR; produce technical documentation and collaborate with customers to automate manual processes.

The Forward Deployed Engineer will manage the deployment of the Encord platform for strategic clients, integrating data and ensuring customer success through workshops, demos, and collaboration with internal teams.

Design and build scalable, production-ready workflow applications on a no-code platform. Translate customer requirements into integrations, AI-powered automations, data transformations, and reusable components. Troubleshoot complex workflows, collaborate with customers and architects, demonstrate solutions, and iterate through implementation, testing, and deployment.

Build and improve static analysis and ML-for-code systems: enhance SCA and SAST platforms, implement call graph, data-flow and taint analyses, run ML experiments from prototype to production, collaborate on roadmap, optimize performance and reliability, and engage with customers and community as needed.

Design, develop, test, and debug MES software; make technical trade-offs; adopt AI-assisted engineering tools; collaborate on estimates, documentation, and team processes; communicate via design docs and tech talks.