Top Artificial Intelligence Software Engineer Jobs

Design and define ThingWorx-based IIoT solutions, develop and enhance ThingWorx widgets and applications, integrate ThingWorx with enterprise systems, mentor team members, and coordinate deployments, testing, and client communications.

Develop scalable software and analytics for clinical EHR data: data processing, statistical computing, machine learning, large-scale databases, and cloud integration. Translate research algorithms into production, gather requirements, document work, and present results.

Design, develop, and maintain complex software solutions across systems; translate requirements into scalable designs; implement best practices, perform code reviews, fix complex bugs, resolve technical issues, and mentor/ train junior engineers.

Develop and maintain high-quality web applications using Angular/TypeScript, focusing on reusable components, RESTful integration, collaboration with cross-functional teams, and adopting modern web technologies to improve usability and efficiency.

Build and scale ReadyOn’s real-time backend decision layer. Design and implement decoupled TypeScript/Node.js (NestJS) services, work with Python components, optimize PostgreSQL schemas and queries, manage migrations and concurrency, integrate GraphQL, and collaborate with product, design, and AI teams to deliver high-impact production features. Onsite in San Francisco.

Design and implement full stack solutions, build APIs, create data visualization tools, and develop AI/ML solutions for the defense sector.

The Full Stack Software Engineer will design and maintain backend microservices, frontend applications, and C++ edge processing systems, ensuring scalability and reliability.

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.

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.