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

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Develop and modernize the open-source conda ecosystem, including conda, conda-build, and plugins. Responsibilities include designing and delivering features, improving performance and reliability, owning projects from requirements through release, collaborating with distributed internal teams and external maintainers, contributing through GitHub, and participating in Scrum ceremonies. The role also involves using AI-assisted tools while maintaining code quality and engaging the open-source community.

Create and optimize high-quality, mobile-optimized character shaders and material workflows in Unity URP. Develop master materials, tools, and editor extensions (C#). Profile and debug performance on iOS/Android, collaborate with artists on look development, and ensure efficient rendering across mobile devices.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.

Designs, develops, tests, and implements Guidewire solutions supporting insurance operations. Collaborates with business stakeholders, analysts, and developers to deliver high-quality implementations meeting business requirements. Requires expertise in Guidewire architecture, data models, APIs, integrations, web services, Java, SQL, and XML. Preferred experience includes Guidewire Cloud, reporting, insurance processes, Agile methodologies, certification, and DevOps tools.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Build and scale Geolava’s spatial intelligence products across frontend and backend systems. Design APIs, data models, and LLM agent workflows; own features from design through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to deliver reliable, polished solutions. The role requires strong product judgment, autonomy, production Python experience, full-stack TypeScript and React expertise, cloud infrastructure knowledge, and familiarity with agent loops, RAG, MCP, and geospatial technologies.