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Freelance Retrieval Augmented Generation Jobs in Arizona

Java AI Developer

Phoenix, AZ ยท 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 ...

Data Analyst

Phoenix, AZ ยท 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 ...

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

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

Software Engineer

Phoenix, AZ ยท On-site

$49 - $53/hr

Develop agent-based solutions using modern AI frameworks, Retrieval-Augmented Generation (RAG), GraphRAG, and Model Context Protocol (MCP). * Create and maintain streaming and batch data pipelines ...

Product Engineer II

Phoenix, AZ ยท On-site

$120 - $180/hr

Design and maintain generative AI and retrieval-augmented generation solutions using enterprise knowledge sources and large language models * Apply prompt engineering techniques to improve answer ...

... retrieval-augmented generation (RAG), prompt engineering, and agentic AI frameworks. Partner with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, scalable, and ...

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

... 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 ...

Practical experience building Generative AI and Retrieval-Augmented Generation (RAG) solutions, including vector databases, embeddings, and retrieval pipelines. Understands model evaluation, prompt ...

AI Engineer III

Phoenix, AZ ยท On-site

$103K - $174K/yr

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 ...

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Freelance Retrieval Augmented Generation information

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.

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.

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 are popular job titles related to Freelance Retrieval Augmented Generation jobs in Arizona?

For Freelance Retrieval Augmented Generation jobs in Arizona, the most frequently searched job titles 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:

Java AI Developer

Omega Hires

Phoenix, AZ โ€ข On-site

$50.25 - $65/hr

Other

Posted 24 days ago


Job description

Job Description: Position Summary

  • We 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 Experience
  • 8+ 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 Responsibilities
  • Design 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.