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Ai Frontend Developer Jobs in Arizona (NOW HIRING)

Collaborate with frontend, mobile, DevOps, product, and AI engineering teams. * Support cloud-native deployments using containers and Kubernetes. * Write clean, maintainable, and testable code with ...

Collaborate with frontend, mobile, DevOps, product, and AI engineering teams. * Support cloud-native deployments using containers and Kubernetes. * Write clean, maintainable, and testable code with ...

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/yr

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design ...

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with ...

NET Core and Angular 2+, thrives in an Agile/Scrum environment, and has experience incorporating AI ... NET Core * 3+ years of front-end development experience using Angular 2+ * 2+ years of experience ...

Python Developer IV

Phoenix, AZ · Remote

$111K - $174K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Collaborate with cross-functional teams including frontend developers, product managers, and QA ...

Python Developer IV

Tempe, AZ · Remote

$111K - $174K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Collaborate with cross-functional teams including frontend developers, product managers, and QA ...

Showing results 21-40

Ai Frontend Developer information

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What is an AI frontend developer?

An AI frontend developer is a professional who designs and implements user interfaces that incorporate artificial intelligence features, such as chatbots, recommendation systems, or data visualization tools. They typically work with programming languages like JavaScript and frameworks like React or Angular, and may integrate AI models using APIs or machine learning libraries to enhance user experience.
What cities in Arizona are hiring for Ai Frontend Developer jobs? Cities in Arizona with the most Ai Frontend Developer job openings:

AI Dev (Features + CHQ)_Tempe,AZ

Photon

Anthem, AZ • On-site

Full-time

Re-posted 15 days ago


Job description


Summary
Photon is seeking a skilled AI Developer (Platform + Backend) to support the design, development, and implementation of AI-powered employee support platform.
The enterprise AI platform built to streamline support for frontline and HQ teams through intelligent automation, workflow orchestration, and AI-driven resolution experiences. The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity.
The AI Developer will be responsible for building scalable backend services using Python and FastAPI, integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across the platform. The role requires strong hands-on experience in backend engineering, cloud-native development, API integrations, and modern AI application development.
Responsibilities
  • Design, develop, and maintain scalable backend services using Python and FastAPI.

  • Build and integrate AI-powered services, APIs, and workflow orchestration components.

  • Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations.

  • Integrate Generative AI services, LLMs, vector databases, and semantic search capabilities.

  • Build and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows.

  • Work with enterprise systems including HR, IT, identity, and operational platforms.

  • Develop secure, scalable, and high-performance backend architectures.

  • Implement asynchronous processing, event-driven communication, and API integrations.

  • Collaborate with frontend, mobile, DevOps, product, and AI engineering teams.

  • Support cloud-native deployments using containers and Kubernetes.

  • Write clean, maintainable, and testable code with proper documentation and testing practices.

  • Participate in code reviews, debugging, monitoring, and production support activities.

  • Contribute to CI/CD pipelines, automated testing, and engineering best practices.

  • Implement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis.

Qualifications
Need to Have
  • 5+ years of experience in backend or platform engineering.

  • Strong hands-on expertise in Python and FastAPI development.

  • Experience building REST APIs, microservices, and backend integration services.

  • Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.

  • Strong understanding of distributed systems and cloud-native application development.

  • Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.

  • Knowledge of asynchronous programming and event-driven architectures.

  • Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.

  • Strong understanding of API security, authentication, and authorization mechanisms.

  • Familiarity with Git-based workflows and Agile development practices.

  • Strong debugging, problem-solving, and communication skills.

  • Experience with RAG pipelines, vector databases, and semantic search.

Good to Have
  • Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.

  • Experience with Kafka, RabbitMQ, or messaging/event-streaming platforms.

  • Familiarity with Flutter/mobile integrations and frontend-backend communication.

  • Experience in QSR, retail, hospitality, or enterprise digital platforms.

  • Exposure to workflow automation and enterprise orchestration systems.

  • Experience with observability, monitoring, and logging tools.

  • Understanding of AI governance, prompt engineering, and AI evaluation frameworks.