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

Build and maintain full-stack acquisition, signup, onboarding, activation, and early-engagement experiences. Ship and analyze A/B and multivariate experiments, instrument funnels and activation milestones, improve conversion-critical reliability, and develop frontend, backend, API, and analytics integrations. Partner with product, design, data, and marketing to turn growth hypotheses into durable product improvements. Use AI-assisted development tools while validating code quality and production readiness.

Build and ship software engineering projects from design through production rollout. Develop AI-powered features supporting chronic care workflows, collaborate with engineering and clinical partners, write maintainable and testable code, and apply software development practices to reliable cloud-based systems. Test, monitor, and iterate using production feedback, with emphasis on patient impact and human judgment.

Design and prototype AI agent systems, agentic workflows, BI and ML pipelines, and enterprise data solutions for strategic customers. Translate governance needs into technical roadmaps, deliver measurable business value, create reusable implementation accelerators, and provide technical guidance to customers and junior engineers. Collaborate with Deployment Strategists, Account Executives, Product, Engineering, and GTM teams to improve Alation’s platform and customer outcomes.

Build and evolve Restate’s durable execution runtime, focusing on distributed systems, state management, storage, messaging, concurrency, fault tolerance, performance, and reliability. Design, test, operate, and improve production-scale backend infrastructure; diagnose complex systems issues; develop integrations and tooling; collaborate with production users; and contribute to architecture, observability, documentation, and engineering practices.

Serve as the primary engineer building PartnerAlly’s AI-native compliance platform. Own end-to-end product development across frontend, backend, infrastructure, compliance automation workflows, and AI/LLM integrations. Make pragmatic technical decisions, ship frequently, incorporate customer feedback, and help establish engineering culture while hiring future engineers.

Build and maintain healthcare software features using Elixir, React, and TypeScript. Fix bugs across the technology stack, configure local development environments, work with PostgreSQL, participate in code reviews and Agile planning, and collaborate with senior engineers, product, and design. The role includes mentorship and focuses on meaningful products supporting Medicaid care delivery teams.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Configure Manhattan Active Warehouse Management, develop REST and event-driven integrations, create data mappings and cloud-native extensions, and support API testing, SIT, UAT, and production troubleshooting. The role integrates MAWM with ERP, OMS, and material handling systems while collaborating with architects and functional teams in an Agile offshore engineering environment.

Own and accelerate ELSA’s B2B Dashboard during a three-month contract. Build production-ready full-stack features across Go, Python, and Vue.js; shape product requirements; make UI/UX decisions; improve APIs and user experiences; use AI development tools; and collaborate with product, design, business, and engineering stakeholders to deliver high-impact improvements autonomously.

Seeking an expert senior software engineer with 10+ years of experience at top U.S. technology firms to improve foundational AI model capabilities on complex software engineering tasks. The role requires approximately 20 hours per week for a 2–3 week contract. Candidates must complete a 30-minute AI interview and a paid asynchronous software engineering exercise and project-instructions quiz. Compensation varies by geography and experience.