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Rag Engineer Jobs in Arizona (NOW HIRING)

Lead Gen AI Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

We are looking for a Lead Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and development of enterprise AI ...

Gen AI Engineer with Python We are looking for a Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and ...

New

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 ...

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 ...

Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks * Develop models for NLP, classification, clustering, anomaly detection, and ...

Junior AI Engineer Location: Phoenix, AZ Job Type: Only W2 · Develop and deploy AI/ML models for ... LLMs. · Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector ...

New

Lead Gen AI Engineer with Python

Phoenix, AZ · On-site

$139K - $170K/yr

Lead Gen AI Engineer with Python We are looking for a Lead Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and ...

New

Python AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Python AI Engineer Location: Salt Lake City, UT or Phoenix, AZ or Sunrise, FL Worksite: Onsite ... Today, the platform supports Confluence/GitHub ingestion → chunking → pgvector → RAG ...

... RAG) using vector search and enterprise knowledge sources. • Continuously optimize prompts for ... of prompt engineering frameworks and design patterns. • Hands-on experience with RAG ...

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps. * Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity ...

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation * Develop ... Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious ...

Engineer II Premium

Phoenix, AZ · On-site

$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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Showing results 1-20

Rag Engineer information

See Arizona salary details

$55.4K

$84.3K

$143K

How much do rag engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for rag engineer in Arizona is $84,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $97,800.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

What are popular job titles related to Rag Engineer jobs in Arizona?

For Rag Engineer jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Rag Engineer jobs?

Cities in Arizona with the most Rag Engineer job openings:

Infographic showing various Rag Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $84,346 per year, or $40.6 per hour.

AI Engineer/Forward engineer

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$100K - $120K/yr

Full-time

Posted 2 days ago

New


Job description

AI Engineer/Forward engineer
Must Have Technical/Functional Skills
• Preferred Qualifications
• Experience building enterprise AI applications using OpenAI, Anthropic, Gemini, or similar LLMs.
• Hands-on experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or comparable frameworks.
• Experience deploying production-grade AI agents and RAG solutions.
• Knowledge of AI observability, evaluation, and monitoring tools.
• Experience implementing secure, governed, and scalable AI solutions.
• Desired Competencies
• Strong problem-solving and system design skills.
• Ability to translate business requirements into AI-powered solutions.
• Excellent communication and stakeholder management skills.
• Collaborative mindset with experience working in cross-functional teams.
• Passion for emerging AI technologies and continuous learning.
Roles & Responsibilities
• We are seeking an innovative Agentic AI Engineer / Forward Deployed AI Engineer to design, develop, and deploy AI-powered applications that leverage Large Language Models (LLMs) to solve real-world business challenges. This role focuses on building intelligent agentic systems and production-grade AI solutions rather than training foundation models.
• The ideal candidate will have expertise in AI application development, prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities that automate repetitive tasks and enhance operational efficiency.
Key Responsibilities
• Agentic AI Engineering
• Design and develop autonomous AI agent workflows capable of executing multi-step business processes.
• Build AI systems around foundation models without requiring model training or pre-training.
• Develop advanced prompt engineering and context engineering strategies to improve AI performance and reliability.
• Implement tool use, function calling, and API integrations for AI agents.
• Build agent orchestration using frameworks such as LangGraph, agent loops, planners, and multi-agent architectures.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Fward Deployed AI Engineering
• Partner with business stakeholders to identify AI use cases and rapidly develop production-ready AI applications.
• Design, develop, and deploy AI-powered applications using modern LLM frameworks.
• Build scalable RAG pipelines for enterprise knowledge retrieval.
• Optimize prompts, workflows, and evaluation frameworks to improve AI solution quality.
• Develop reusable AI services, APIs, and components that can be leveraged across multiple teams.
• Integrate AI solutions with enterprise systems, data sources, and business applications.
• Support deployment, monitoring, and continuous improvement of AI applications in production.
Salary Range- $100,000-$120,000 a year