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

Design, develop, and deploy Power Platform solutions on Dataverse, including Power Automate, Power Fx, C# plugins, JavaScript, Dual Write, and Power Apps. Troubleshoot Dataverse/Dynamics CE issues, manage small projects and offshore development, build integrations and data migrations, maintain client relationships, and follow standards and project timelines.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

Lead technical direction for the Growth team at Sanity.io, focusing on scalable solutions, mentoring engineers, and making data-informed architectural decisions.

As a Senior Software Engineer, you will lead frontend development, define architecture, optimize performance, and collaborate across teams to create user-friendly logistics applications.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Nango is hiring Senior and Staff Backend Engineers to design, build, and optimize backend systems and APIs, collaborating with customers and driving product strategy.

Work on backend and frontend features for a waste-management SaaS: build Java/Spring Boot services, React UI, work with PostgreSQL/PostGIS, debug production, write tests, collaborate with Customer Success, participate in on-call rotation, and adopt AI-assisted development tools.

The Software Engineer will improve product engagement through full stack feature development, user behavior analysis, and collaboration with product and design teams.

Lead development of the production toolchain that compiles complex Python packages (e.g., NumPy, SciPy, PyTorch). Build and maintain build/release pipelines, create and review conda recipes, automate processes, mentor engineers, run incident response and postmortems, and advise leadership on technical tradeoffs. Partner with distribution and wheels teams and validate AI-assisted code where used.