Top Artificial Intelligence Software Engineer Jobs in Phoenix – Mesa – Scottsdale, AZ

Build pixel-perfect, responsive web components from style guides and screenshots using TypeScript and CSS3. Ensure accessibility and design-system conformity, optimize UI performance, document work asynchronously, resolve design ambiguities, and contribute domain expertise to train AI systems.

Design and implement front-end features, build high-quality user interfaces, take ownership of product and architecture decisions, collaborate with engineering team, and deliver performant, user-focused solutions.

Lead end-to-end Salesforce Field Service architecture and implementations, design API-driven integrations with ERPs and middleware, govern technical standards and DevOps, drive pre-sales solutioning, advise on operating models and AI-readiness, mentor distributed teams, resolve escalations, and develop reusable accelerators to ensure scalable, long-term technical delivery.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Serve as a technical partner between Customer Success and Engineering to resolve complex enterprise escalations, debug live production systems, perform root cause analysis, build scripts and diagnostic tools for self-service, and participate in a rotating on-call schedule to ensure fast, expert client resolution.

As an Integration Engineer, you'll collaborate with customers to gather integration requirements, manage data exchange, monitor integration performance, and maintain documentation.

The role involves building user experiences, APIs, and data handling processes in a TypeScript application using React and Remix, while balancing performance and quality.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

Design APIs, build scheduling algorithms for GPU utilization, create resource management systems, and collaborate with frontend engineers for AI infrastructure.

As a Software Engineer, you will develop and maintain features using AI-assisted tools, collaborate with teams, and enhance software solutions for better user insights.