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Rag Developer Jobs in Arizona (NOW HIRING)

Python Developer - AI Engineer

Phoenix, AZ · On-site

$50 - $68.75/hr

Python Developer - AI Engineer Location: Phoenix, AZ (Onsite) Visa: OPT, CPT, H4, L2 Required ... Experience with OpenAI, LangChain, RAG, LLMs, or GenAI solutions * Knowledge of FastAPI, REST APIs ...

AI Engineering Leader

Tempe, AZ · On-site

$98K - $129K/yr

This role i not a pure management role - the ideal candidate will actively design, build, and scale AI systems (RAG, agents, evaluation frameworks) while leading engineering initiatives and ...

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks

Senior AI Developer

Phoenix, AZ · On-site

$54 - $71.50/hr

Senior AI Developer Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration ... Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production ...

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

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... RAG vs fine-tuning vs lightweight adaptation · Model scope, training data selection, and ... ML engineers · U.S. Citizenship · Preferred Qualifications · Experience with simulation ...

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Collaborate with data scientists and ML engineers to integrate RAG-based systems into enterprise platforms * Build and manage knowledge retrieval layers leveraging vector databases and embeddings

You will stay current with advances in AI/ML (e.g., LLMs, RAG, agent workflows) and drive internal ... Degree in Electrical/Electronics Engineering or equivalent * Strong experience as an Application ...

AI Developer (Platform + Backend) Location :Tempe ,AZ Summary: Photon is seeking a skilled AI ... Experience with RAG pipelines, vector databases, and semantic search. Good to Have Exposure to ...

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AI Security Engineer Location: 100% Remote (U.S.) Position Type: Contract-to-Hire (6-Month ... Secure Retrieval Augmented Generation (RAG) implementations, AI model endpoints, and enterprise AI ...

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing - Tokenization and embedding models - Model ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What are popular job titles related to Rag Developer jobs in Arizona? For Rag Developer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Rag Developer jobs? Cities in Arizona with the most Rag Developer job openings:
Infographic showing various Rag Developer job openings in Arizona as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Full Stack Developer

Full-time

Posted 27 days ago


Job description

Posting ID : 10395
Posting title: IT - AZDES - DTS - Developer - Full Stack Developer
Client: State Of AZ (Arizona Department of Economic Security)
Location: Phoenix, AZ (1-2 Days from Office)
Duration: 3-6 Months+
Local to Phoenix only. This is hybrid, 1-2 days in the office a week. Please don't submit candidates that were submitted to 10024.
Key Responsibilities:
  • Implementing RAG: Developing systems that retrieve enterprise data to enhance LLM responses.
  • Prompt Engineering: Designing, evaluating, and optimizing prompts to improve model performance.
  • API Development: Creating secure REST APIs to integrate OpenAI models into applications.
  • Security & Compliance: Ensuring AI solutions adhere to responsible AI principles, data privacy, and security standards.

Required Skills:
  • Need to have Python, JavaScript, and Angular (all must be on resume)
  • Experience with AI Augmented / Agentic Development using GitHub Co-Pilot or similar tools"
  • RAG pipeline (Retrieval-Augmented Generation)
  • LLM (large language models)
  • OpenAI

Preferred Skills:
  • SQL DB or PostgreSQL
  • REST API's
  • CI/CD
  • Docker
  • React
  • Azure cloud