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Retrieval Augmented Generation Rag Jobs in Avondale, AZ

The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and ...

The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and ...

Database Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Provide basic architectural guidance for AI-related data patterns , including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...

AI Engineer II

Phoenix, AZ · On-site

$110 - $170/hr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * AIP and AI ...

Database Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Provide basic architectural guidance for AI-related data patterns, including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...

Lead AI & Data Solutions

Phoenix, AZ · On-site

$180 - $240/hr

Guide teams in building Retrieval Augmented Generation (RAG) architectures, semantic search solutions, AI-to-SQL capabilities, and enterprise AI platforms. * Ensure AI solutions are scalable, secure ...

New

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

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 ...

AI Engineer III

Phoenix, AZ · On-site

$57 - $76.75/hr

Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. * Contribute to shared AI infrastructure such as LLM ...

Showing results 21-40

Retrieval Augmented Generation Rag information

See Avondale, AZ salary details

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How much do retrieval augmented generation rag jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for retrieval augmented generation rag in Avondale, AZ is $19.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $20.67 per hour, depending on experience, location, and employer.

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Infographic showing various Retrieval Augmented Generation Rag job openings in Avondale, AZ as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $41,153 per year, or $19.8 per hour.

Full-Stack Engineer -- AI Agents & Automation

Finaventures

Scottsdale, AZ • On-site

$110K - $130K/yr

Other

Posted 5 days ago


Job description

About the role

EHMA builds the software behind Everpower’s family of products. We’re looking for a full-stack engineer with a real knack for AI — someone who writes solid, production software and enjoys putting large language models and agentic systems to work on real problems. This is not a research role: we’re not looking for an AI PhD, we’re looking for a strong, versatile developer who is hands-on with LLMs and wants to own the AI-powered features and automations that are becoming core to how our business runs. You’ll work across the stack and across products, closely with our Director of Engineering.


What you'll do

•   Build and maintain AI-powered features and agentic automations across our products and internal operations.

•   Take day-to-day ownership of one or more of our AI systems — improving quality, expanding capabilities, and keeping them reliable.

•   Work across the stack — backend services and the interfaces and integrations around them — to ship complete features, not just prototypes.

•   Build the evaluation and testing that keep AI systems trustworthy: measuring quality, catching regressions, and enforcing safe, accurate output.

•   Integrate LLMs with our data and tools through retrieval, tool/function calling, and well-structured pipelines.

•   Help make our AI tooling documented, tested, and maintainable — so critical systems don’t depend on any one person.


Where you’ll make an impact early

•   Owning the quality and release cadence of a live AI system.

•   Shipping a new AI-powered feature or automation end to end.

•   Strengthening how we evaluate and safeguard AI output.


What we're looking for

•   2–4 years of professional software engineering, comfortable across the stack (strong backend, capable on the frontend).

•   Hands-on experience building with large language models — you’ve shipped something real with them, not just experimented.

•   Solid engineering fundamentals: you write tested, maintainable code and think about correctness and edge cases.

•   Curiosity and product sense for where AI genuinely helps — and where it doesn’t.

•   Clear communication and comfort working closely with a technical lead.

Nice to have

•   Experience with agent frameworks, tool/function calling, or multi-step agentic workflows.

•   Retrieval-augmented generation (RAG), embeddings, and vector/keyword search.

•   C#/.NET (our primary backend) and/or a major LLM platform (Azure OpenAI or equivalent).

•   Evaluation, guardrails, or compliance-sensitive AI experience.

•   Data / business-intelligence exposure.


Team:  EHMA — the technology arm of Everpower

Reports to:  Director of Engineering

Location:  Tempe, AZ - Onsite (No Remote, No Hybrid, No WFH)

Type:  Full-time

Compensation:  $110,000–$130,000 base, depending on experience, plus benefits