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Remote Rag Jobs in Tempe, AZ (NOW HIRING)

Mental Health Expert - Remote

Phoenix, AZ ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

AI/ML Engineer - Remote

Phoenix, AZ ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Director, Data Security & Governance arrivia Remote (US) Full-time -1922-44b9-98ed- 379fb61e1be7 ... RAG-source controls and prompt and response DLP. You will report to the CIO and lead the data ...

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise ...

Senior Agentic Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Agentic Software Engineer 3

Scottsdale, AZ ยท Remote

$137K - $234K/yr

Agentic Software Engineer III (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Agentic Software Engineer II

Scottsdale, AZ ยท Remote

$119K - $188K/yr

Agentic Software Engineer II (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Principal Software Engineer - Remote

Scottsdale, AZ ยท On-site +1

$134K - $180K/yr

Hands-on depth with the Model Context Protocol, prompt engineering for code, and AI building blocks such as Azure AI Foundry, RAG, LangChain, or graph-based data technologies like GraphRAG and ...

Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Lead Engineer, Data Platforms

Tempe, AZ ยท On-site +1

$111K - $133K/yr

Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote rag in Tempe, AZ is $20.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $21.88 per hour, depending on experience, location, and employer.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

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Mental Health Expert - Remote

Phoenix, AZ โ€ข Remote

$200 - $350/hr

Full-time

Posted 13 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.