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

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.

Lead implementation and integration of DFT features (scan, MBIST, BISR, boundary scan), develop reusable DFT IP and ATPG patterns, perform post-silicon debug and root-cause analysis, collaborate across physical design and validation teams, and drive manufacturing test readiness and production qualification for ASIC designs.

Perform German-language accessibility validation of localized web, app, and document content using native-language screen readers and assistive technology. Verify language codes and metadata, review captions/transcripts, log defects with WCAG/PDF-UA references, provide screenshots/recordings, and collaborate on review calls. Work is project-based with provided scope and test checklists.

Remote Senior Software Engineer who evaluates Microsoft and complementary technologies, designs and implements custom software (C#, JavaScript, SQL), applies cloud and DevOps practices (Azure/AWS, CI/CD, containers), mentors and networks professionally, and continuously learns and advises clients.

The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.

The role involves building and scaling backend services, designing APIs, optimizing database performance, and communicating with customers to improve product quality.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Design and build full-stack applications that expose AI/ML insights. Develop backend services in Python, RESTful APIs, and containerized microservices. Build high-performance front-end interfaces with React/Vue/Angular. Implement cloud-native solutions on Google Cloud or Azure, manage relational and NoSQL databases, apply testing and CI/CD, and participate in Agile development and architecture sessions.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.