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Rag Developer Jobs in Arizona (NOW HIRING)

Bex Partners

Automation Engineer

Phoenix, AZ · On-site +1

Support the development of AI-powered features including RAG over documentation, AI-assisted ticket ... Proficiency with Git, GitHub, or Azure DevOps, including branching strategies, pull requests, and ...

Inficare Technologies

full-stack engineer

Phoenix, AZ · On-site

Role - Senior Full-Stack Engineer (Node.js / Angular / MongoDB / Camunda) - Agentic Engineering ... RAG (retrieval-augmented generation), tool invocation, structured outputs (JSON), and safe ...

Apptad Inc

Senior AI Engineer at Phoenix, AZ

Phoenix, AZ · On-site

$55 - $60/hr

RAG (retrieval-based AI pipelines) * LLM integration and APIs * Lead technical design discussions and guide engineering teams * Ensure AI systems are reliable, scalable, and safe for enterprise use

Trans.eu

Java GENAI Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

LLM APIs (OpenAI / Gemini / Claude) • Prompt engineering Understanding of: • RAG (Retrieval-Augmented Generation) • Embeddings & vector databases Roles & Responsibilities • Experience with ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire * Design and ... Experience with RAG and Supervised Tuning techniques * Strong distributed systems skills and ...

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Advantest

AI Application Engineer

Chandler, AZ · Hybrid

* This role sits at the intersection of semiconductor test engineering and AI, driving the ... You will stay current with advances in AI/ML (e.g., LLMs, RAG, agent workflows) and drive internal ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

... RAG), and intelligent automation platforms. You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server within the Grafana ecosystem ...

Black Diamond Group

AI Engineer

Scottsdale, AZ · On-site

Build LLM-powered agents, RAG pipelines, and workflow automations connected to live business ... Collaborative: you work well across product, data, and DevOps without needing a formal handoff ...

American Express

AI Engineer III

Phoenix, AZ

$57 - $76.75/hr

Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. * Internship or early-career experience in fintech or other regulated ...

Equity Methods

Staff Software Engineer

Scottsdale, AZ · On-site

Description Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our ... Build and maintain content vectorization and retrieval-augmented generation (RAG) pipelines that ...

Equity Methods

Staff Software Engineer

Scottsdale, AZ · On-site

Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our Technology ... Build and maintain content vectorization and retrieval-augmented generation (RAG) pipelines that ...

Troon Golf

AI Platform Architect

Gilbert, AZ · On-site

... full stack developers on application-layer integration * Optimize performance, cost, and ... Experience designing RAG pipelines and working with vector databases at production scale

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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 job categories do people searching Rag Developer jobs in Arizona look for? The top searched job categories for Rag Developer jobs in Arizona are:
What cities in Arizona are hiring for Rag Developer jobs? Cities in Arizona with the most Rag Developer job openings:
Rag Developer jobs near you
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.

Automation Engineer

Bex Partners

Phoenix, AZ • On-site, Remote

Full-time

Posted 19 days ago

Job description

Automation Engineer

About the Role:

Visory is seeking an Automation Engineer to design, build, and maintain the systems that power our managed services operations. In this hands-on engineering role, you'll develop production-grade automations and integrations across PSA, RMM, documentation, identity, and AI platforms to create scalable workflows across hundreds of client tenants.

You'll work closely with the Director of Automation & AI to take ideas from concept to production while contributing to the evolution of Visory's automation and AI capabilities. This position is being offered in a hybrid schedule based 2-3 days in our office in Phoenix, Arizona.

What You Will Be DOING:

  • Automation Development & Integration: Design and build automated workflows using Rewst, Azure Functions, and serverless integrations with Python, PowerShell, and TypeScript. Integrate platforms such as ConnectWise Manage, Microsoft Graph, IT Glue, NinjaRMM, Pax8, SentinelOne, and other MSP tools through APIs.
  • Platform Engineering & Internal Tooling: Contribute to internal Node.js services, dashboards, and web tooling that support automation visibility, monitoring, and operational scalability. Build reusable functions and shared logic for cross-platform workflows.
  • AI & Intelligent Automation: Support the development of AI-powered features including RAG over documentation, AI-assisted ticket triage, document processing, and natural language or voice interfaces. Use AI responsibly within daily engineering workflows and production systems.
  • Testing, Monitoring & Support: Test, monitor, troubleshoot, and maintain automation solutions in production environments, ensuring reliability, scalability, and operational stability.
  • Strategy & Cross-Functional Collaboration: Partner with stakeholders across the business to identify high-value manual processes and prioritize automation initiatives based on business impact and technical feasibility.
  • Documentation & Knowledge Sharing: Maintain clear documentation for automations, integrations, assumptions, decisions, and operational procedures to support scalability and knowledge transfer.

What You Will NEED/LEARN:

We don't expect anyone to walk in with all of this. Strong fundamentals plus a genuine curiosity about the rest is the bar and what we are mainly looking for!

  • Development & Automation Experience: 3+ years building automations, integrations, or backend services with strong skills in Python, PowerShell, or TypeScript. Experience designing scalable workflows and integrating systems through APIs.
  • API & Cloud Knowledge: Comfortable working with REST/JSON APIs, including authentication, pagination, and error handling. Hands-on experience with cloud platforms such as Azure, AWS, or GCP, with willingness to expand Azure expertise.
  • Version Control & Engineering Practices: Proficiency with Git, GitHub, or Azure DevOps, including branching strategies, pull requests, and code reviews. Strong understanding of infrastructure-as-code and engineering best practices (Bicep, ARM, Terraform).
  • Automation & MSP Tooling: Familiarity with platforms such as Rewst, ConnectWise Manage, IT Glue, NinjaRMM, Pax8, Microsoft Graph, Entra ID, or related MSP technologies preferred.
  • AI & Modern Platform Exposure: Interest or experience with AI-powered systems, LLM-backed features, RAG workflows, prompt engineering, Azure AI Search, or related technologies preferred.
  • Communication & Work Style: Strong written and verbal communication skills, ability to explain technical decisions clearly, and a collaborative, growth-oriented mindset with curiosity and adaptability.
  • Work Environment & Physical Requirements: Prolonged periods of sitting at a desk and working on a computer.

What You GET:

  • Growth & Technical Development: Opportunity to grow into platform engineering and applied AI work with hands-on exposure to Azure infrastructure, Bicep, LLM integrations, multi-tenant systems, and advanced automation tooling.
  • Ownership & Impact: Direct collaboration with the Director of Automation & AI and the ability to take automation initiatives from concept to production in a highly visible engineering role.
  • Flexible Work Environment: Phoenix-based hybrid environment preferred, with fully remote options considered for the right candidate.

About Visory:

Visory is a hands-on technology and cybersecurity partner delivering enterprise-grade IT services, compliance support, and managed infrastructure to financial, accounting, construction, and other growing businesses. With a team of 150+ professionals, we combine industry expertise with exceptional client support to help organizations stay secure, compliant, and confident in their digital transformation.

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