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

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

Software Engineering Interns will build and maintain a B2B CRM across the full stack, including Next.js and Tailwind CSS frontend interfaces, Node.js and AWS backend services, and MongoDB databases. Responsibilities include developing scalable APIs, optimizing performance, writing secure maintainable code, collaborating with engineering, product, and design teams, and contributing to architecture decisions. This is a remote-first, full-time 12-month internship with potential conversion to a full-time engineering role.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design scalable core platform services, collaborate with ML, frontend, and product teams, implement infrastructure-as-code and CI/CD, and mentor junior engineers to deliver reliable, AI-powered features.

As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.

As a Fullstack Engineer, you'll drive user growth through performance-focused web experiences, leading frontend projects, and optimizing conversion funnels.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Lead architecture and implementation of scalable full-stack industrial data platforms and applications. Build APIs, user experiences, infrastructure, and web services while driving technical direction, product roadmap influence, reliability, and performance. Collaborate with product managers, designers, ML engineers, domain experts, and users to deliver robust solutions. Mentor engineers, solve complex system issues, and champion maintainable, high-quality code.