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Freelance Retrieval Augmented Generation Jobs in Arizona

Senior Java Backend Developer - GenAI

Phoenix, AZ · On-site

$119K - $155K/yr

Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.

Java AI Developer

Phoenix, AZ · On-site

$50.25 - $65/hr

Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.

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

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

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 ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI ...

... Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

... Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI ...

Engineer II Premium

Phoenix, AZ · On-site

$82K - $110K/yr

... Skills: - Retrieval-Augmented Generation (RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing ...

... Retrieval-Augmented Generation) pipelines using embeddings and vector databases. · Design AI agents, intelligent automation, and AI-powered workflows. · Prepare, clean, transform, and analyze ...

New

... and retrieval-augmented generation (RAG) pipelines that give AI agents access to relevant financial context, including prior work product, regulatory guidance, and client-specific parameters, at ...

Design and implement production AI platform capabilities, including agents, retrieval-augmented generation, tool calling, workflow orchestration, evaluation, and human review. * Build an AI-native ...

AIOps Lead Engineer

Arizona City, AZ · On-site

$103K - $135K/yr

Build and implement Agentic AI solutions, including AI agents, orchestration frameworks, and Retrieval-Augmented Generation (RAG) based systems. * Develop, deploy, and support cloud-native ...

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Freelance Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a freelance retrieval augmented generation specialist?

To thrive as a Freelance Retrieval Augmented Generation (RAG) Specialist, you need expertise in natural language processing, information retrieval, and machine learning, typically supported by a degree in computer science or related fields. Proficiency with frameworks like Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone), and cloud platforms is often required. Strong problem-solving, effective communication, and adaptability set standout professionals apart in this role. These skills ensure the development and fine-tuning of high-performance RAG systems that deliver accurate, contextually relevant results for clients.

What is a freelance retrieval augmented generation specialist?

A Freelance Retrieval Augmented Generation (RAG) specialist is an independent professional who designs, develops, and implements AI systems that combine retrieval-based methods with generative models. RAG specialists help organizations enhance their applications by integrating large language models (LLMs) with external data sources, allowing the AI to access and utilize up-to-date information beyond its training data. Their work involves tasks such as building pipelines for document indexing and retrieval, fine-tuning models, and optimizing the integration for accuracy and efficiency. Freelance RAG specialists typically work on a contract basis, offering flexibility and expertise for businesses that need advanced AI solutions.

How does a freelance retrieval augmented generation specialist typically collaborate with client teams during a project?

Freelance Retrieval Augmented Generation (RAG) specialists often work closely with client data scientists, engineers, and project managers to understand business requirements and integrate RAG systems into existing workflows. Communication is usually handled through regular virtual meetings, shared documentation, and sometimes real-time collaboration tools. Freelancers are expected to deliver modular, well-documented solutions and provide guidance on optimizing retrieval pipelines or fine-tuning models. This collaborative dynamic ensures that RAG implementations are aligned with client goals and technical standards, while also allowing freelancers to contribute innovative solutions based on their expertise.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Arizona?

The most popular types of Retrieval Augmented Generation jobs in Arizona are:

What job categories do people searching Freelance Retrieval Augmented Generation jobs in Arizona look for?

The top searched job categories for Freelance Retrieval Augmented Generation jobs in Arizona are:

What cities in Arizona are hiring for Freelance Retrieval Augmented Generation jobs?

Cities in Arizona with the most Freelance Retrieval Augmented Generation job openings:

Senior Java Backend Developer - GenAI

OmegaHires

Phoenix, AZ • On-site

$119K - $155K/yr

Contractor

Posted 20 days ago


Job description

Senior Java Backend Developer - GenAI
Job Description: Position SummaryWe are seeking a Senior Java Backend Developer with 8+ years of experience building enterprise-grade backend applications and mandatory hands-on experience with Generative AI (GenAI) technologies. The ideal candidate must possess strong expertise in Java, Spring Boot, Microservices, Distributed Systems, Kafka, Cloud Technologies, and LLM-powered application development.
This role focuses on designing and delivering secure, scalable, AI-enabled backend services for Digital Banking platforms. Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.
Required Experience8+ years of hands-on Java Backend Development experience.3+ years of hands-on Generative AI development experience (Mandatory).Strong experience building enterprise applications using Java, Spring Boot, and Microservices.Experience working in Banking, Financial Services, FinTech, or highly regulated environments is highly preferred.
Key ResponsibilitiesDesign and develop scalable backend applications using Java, Spring Boot, and Microservices.Build enterprise-grade RESTful APIs and event-driven applications using Kafka.Design distributed systems with high availability, resiliency, fault tolerance, and scalability.Develop AI-powered backend services using Large Language Models (LLMs).Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.Implement AI Agents, tool/function calling, prompt engineering, structured outputs, and workflow orchestration.Integrate vector databases and semantic search capabilities into enterprise applications.Develop secure APIs for AI services while ensuring governance, compliance, and data privacy.Collaborate with Product Managers, Architects, and Data Science teams to deliver AI-driven business capabilities.Mentor engineers and participate in architecture discussions, code reviews, and technical design sessions.Build CI/CD pipelines and support production deployments.