Top Remote Software Engineer Jobs in Las Vegas, NV

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Build high-performance, real-time Angular frontends for AI-driven agent workflows. Implement SSE/WebSocket streaming, advanced state management (Signals/NgRx/Akita), interactive visualizations (Canvas/SVG), HITL components, and performance optimizations. Collaborate with backend and AI engineers on JSON schemas and API contracts. Ensure quality via unit and E2E tests (Cypress).

As a Senior Software Engineer, you will design and optimize APIs, develop cloud functions, and collaborate with product teams to enhance user experiences at Speechify.

Lead a team of engineers in developing solutions, ensure project alignment with business goals, and foster team growth and collaboration.

Design and implement C++ software enabling remote human operator control and low-latency sensor/semantic data streaming for autonomous vehicles. Build integration and simulation test suites, apply test-driven development, support on-road testing, collaborate with cross-functional teams, and develop RVA agent training tools and scenarios.

Architect and build scalable, high-performance dashboards with TypeScript and React using shadcn/ui. Implement advanced state management and real-time GPU telemetry visualizations, enforce frontend standards (accessibility, testing, documentation), integrate with backend APIs, collaborate with designers, and mentor junior engineers.

The Software Engineer will design, build, and maintain features across platforms utilizing C#, ASP.NET Core, SQL, and React or Angular, while engaging with AI tools within a collaborative team environment.

Design, develop, test, and deploy Java/J2EE applications and integrations. Lead implementation planning, gather and specify requirements, mentor junior developers, resolve defects, support production (on-call), and ensure database and SOX-compliant process documentation.

The Deployed Engineer works with customers to design, build, and deploy production AI agents, advises on architecture, and runs technical demos and workshops.

Define and drive the CXOS platform architecture vision and roadmap, ensure scalable extensible microservices design, align architecture with delivery, provide technical leadership, produce documentation, resolve architectural issues, collaborate with stakeholders, oversee performance/security/DevOps concerns, evaluate third-party solutions, and be hands-on with Spring Boot/Java or Go.