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Rag Engineer Jobs in Arizona (NOW HIRING)

Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows. ? Infrastructure & DevOps: Own the lifecycle of your services ...

ClifyX is a company seeking a Gen AI Engineer with expertise in Power Automate. The role requires ... Required : • Must have 3-5 years of strong Experience on building GenAI projects using custom RAG ...

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Engineer Data & Analytics Pipelines -- Build pipelines that feed AI/ML systems with clean, governed ... Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems * Strong ...

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

The right person can move fluidly between experimenting with new AI ideas, building out an engineering focused waste classification project, and maintaining a live RAG system with multiple production ...

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and ... Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases ...

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and ... Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases ...

End-to-end experience with generative AI and LLM-based solutions, including one or more of the following: prompt engineering, embeddings, vector databases, semantic search, and RAG workflows. * Hands ...

AI Engineer

Globe, AZ

$92K - $126K/yr

Practical exposure to LLMs, LangChain, RAG frameworks, and data manipulation. * Languages: Python, Node.js. Plus: React, FastAPI, Typescript, Go. * Cloud & DevOps: AWS, GCP, GitOps, CI/CD, Terraform.

Programming: Advanced proficiency in Python or TypeScript/JavaScript. * Experience on Neural ... RAG) or GraphRAG pipelines. * Agentic Workflows: Designing multi-agent systems, tool/function ...

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Lead the development of LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Lead the development of LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Lead the development of LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

Showing results 41-60

Rag Engineer information

See Arizona salary details

$55.4K

$84.3K

$143K

How much do rag engineer jobs pay per year?

As of Sep 2, 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.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

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 job categories do people searching Rag Engineer jobs in Arizona look for?

The top searched job categories for Rag Engineer jobs in Arizona 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, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $84,346 per year, or $40.6 per hour.

Senior Python Backend Engineer

AIAEC LLC

Phoenix, AZ • On-site

Full-time

Re-posted 6 days ago


Job description

Description:

Why AIAEC?

You’ll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your architectural decisions directly impact how the built world is designed and constructed. If you enjoy solving "real-world" problems where code meets concrete, this is your spot.


As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC and our suite of AI-driven civil engineering tools. You won't just be writing APIs; you will be engineering the backbone that integrates complex engineering datasets with cutting-edge LLMs. You will bridge the gap between high-level AI research and production-grade software, ensuring our infrastructure is scalable, observable, and resilient.


Key Responsibilities:


? API Architecture: Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI.

? AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows.

? Infrastructure & DevOps: Own the lifecycle of your services—from containerization with Docker to orchestration and deployment within Azure.

? Observability: Implement robust monitoring and distributed tracing using OpenTelemetry to ensure high availability and deep system insights.

? Database Integration: Review and optimize queries in PostgreSQL to handle complex spatial and relational data.

? Technical Leadership: Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation).


Tech Stack: Python (FastAPI), Docker, Azure (preferred), OpenTelemetry, PostgreSQL

Requirements:

Technical Requirements:


  • Python Expertise: 5+ years of professional experience with Python, with a deep understanding of asyncio and performance profiling.
  • Frameworks: Mastery of FastAPI (including Pydantic, Dependency Injection, and Middleware).
  • Containerization: Solid experience with Docker.
  • Cloud & DevOps: Solid experience managing cloud infrastructure. While our stack is Azure-centric, strong experience with AWS or GCP is highly transferable and welcomed.
  • Observability: Practical experience with OpenTelemetry, Prometheus, or similar tools for tracking system health and performance.
  • Modern Tooling: Familiarity with Git-based workflows, CI/CD pipelines (Azure DevOps or
  • GitHub Actions), and automated testing suites.

Nice to Haves:

  • Experience with OpenAI API, LangChain, or LlamaIndex.
  • Background or interest in Civil Engineering, BIM (Building Information Modeling), or CAD software integration.
  • Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector).