ZipRecruiter

Log In

1

Tensorflow Engineer Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

Fullstack AI Engineer

Globe, AZ · On-site

The AI Full Stack Developer operates across the full application stack, bridging model development ... LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow. * Databases:

Early Warning Services

Principal Data Engineer

Scottsdale, AZ · Hybrid

$136K - $182K/yr

Big Data (Cloudera / S3), AI/ML Model development lifecycle (feature engineering & model operationization use of industry frameworks like PyCharm / SciKit / Tensorflow, using python, pySpark, Spark ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikit'learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring. * Security & compliance:

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikita'learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring. * Security ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

next page

Showing results 1-20

All JobsTensorflow Engineer JobsTensorflow Engineer Jobs in Arizona

Tensorflow Engineer information

See Arizona salary details

$30.8K

$87.6K

$135.6K

How much do tensorflow engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for tensorflow engineer in Arizona is $87,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,100.00 per year, depending on experience, location, and employer.
What cities in Arizona are hiring for Tensorflow Engineer jobs? Cities in Arizona with the most Tensorflow Engineer job openings:
Tensorflow Engineer jobs near you

Fullstack AI Engineer

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 27 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Enables tight integration between application layers and machine learning models This role is responsible for building both the "brain" (AI models/logic) and the "body" (user interface and APIs) of an application, ensuring that AI features are not just functional but seamlessly interconnected into the user experience.

The AI Full Stack Developer operates across the full application stack, bridging model development and application production deployment, with an emphasis on scalability, integration, and usability.

  • End-to-End Development: Building responsive front-end interfaces that interact with sophisticated AI back-end, MCP Fulfilment Servers and Knowledge Management System
  • AI Integration: Implementing RAG (Retrieval-Augmented Generation) architectures and connecting LLMs to real-time data sources.
  • API Design: Creating the bridges (REST/GraphQL) that allow front-end components to communicate with ML models.
  • Product Realization: Taking a raw AI model and turning it into a polished, user-facing software product.
  • Participate in cross-functional brainstorming, strategic planning and business review sessions
  • Oversee best practices implemented during the entire DevOps/MLOps LifeCycle
  • Managed Resources like Code Repositories, API Optimization, Cloud Resources, CI/CD and Data Pipeline

NATURE OF PROBLEMS ENCOUNTERED

  • Latency Management: Solving the "slow AI" problem-ensuring users aren't left waiting while a model processes a complex request.
  • Prompt Engineering vs. UI: Aligning the "hidden" logic of an AI prompt with the visible inputs provided by a user.
  • State Management: Handling the complex states of an AI conversation (memory, context windows, and history).
  • Intermittent Failures: Debugging non-deterministic errors where an AI model provides a different (or wrong) output for the same input.

REQUIREMENTS

Technical Stack

  • Front-end: React.js, Next.js, or Vue.js; Tailwind CSS
  • Back-end: Python (FastAPI/Flask) or Node.js.
  • AI/ML: LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow.
  • Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma.
  • Cloud Infrastructure: Google Kubernetes Engine, Cloud Functions, DFCX

Experience: 3-5 years in Full Stack Development with at least 1-2 years specifically focused on AI-integrated products.

Education: Bachelor's degree in Computer Science or Software Engineering.

More than 3-year experience on IT and Telco industry

At least 3-year experience in implementing Web/Mobile App Projects

At least 3-year experience in coordinating and managing vendors

At least 1-year experience in Testing Automation

Basic knowledge on project management discipline

Basic knowledge of DevOps Tools (CI/CD, Terraform, JIRA, Confluence)

KEY OUTPUTS

  • Application Proof of Concepts and Prototypes that will improve customer experience through AI features and capabilities
  • Functional AI Web Applications: Production-ready applications where AI is a core feature (e.g., an intelligent dashboard or an AI-driven SaaS tool).
  • Integrated API Layers: Scalable middleware that handles prompt engineering, token management, and model inference.
  • Responsive UI/UX: User interfaces specifically designed for AI interactions (e.g., streaming text responses, multimodal inputs, and feedback loops).
  • Optimized Vector Databases: Efficiently indexed data storage for fast context retrieval in AI applications.
  • Technical Documentation: Comprehensive guides for the application's architecture, including API schemas and deployment procedures.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Apply