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

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Develop, integrate, test, and maintain VistA/healthcare applications using MUMPS/Cache. Support HL7 messaging, APIs, web applications, and work in an Agile Scrum, DevSecOps environment. Collaborate with stakeholders, participate in sprint activities, and ensure accessibility and TRM compliance.

Deliver technical implementation and data migrations for customers using Arena: analyze, cleanse, transform, and import/export PLM/QMS data; provide Arena API guidance; gather technical requirements, produce LOE/time estimates, and support internal process improvements.

The Product Engineer will build decentralized finance applications, focusing on full-stack mobile and web experiences using React and React Native, while also developing tooling and infrastructure in a fast-paced environment.

The Forward Deployed Engineer will lead customer deployments of the AI recruiting platform, configure workflows, integrate systems, and enhance AI-driven solutions while liaising with customers and internal teams.

Lead delivery for a cloud-based eDiscovery SaaS platform, owning roadmap execution, platform scalability, reliability, AI feature productionization, org design, hiring and development of engineering managers, budget and vendor management, and cross-functional partnership with Product and senior leadership.

The VP of Engineering will lead the engineering team, develop strategies, manage infrastructure, and ensure delivery of software and services supporting the company's goals.

Design, build, and operate large-scale distributed web-crawling and data ingestion systems. Improve throughput, reliability, observability, and data quality. Develop backend services for job orchestration and asynchronous workloads, partner with product teams to create data products, and mentor teammates on domain-specific acquisition techniques.