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Retrieval Augmented Generation Jobs in Phoenix, AZ

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 ...

Posted today

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 ...

Posted today

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

$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 ...

Fabric Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Design pipelines that support Retrieval-Augmented Generation, including chunking, embeddings, and vector search, and use LLMs and MCP servers to speed up and improve how the team works. * Data ...

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Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Phoenix, AZ?

The most popular types of Retrieval Augmented Generation jobs in Phoenix, AZ are:

What job categories do people searching Retrieval Augmented Generation jobs in Phoenix, AZ look for?

The top searched job categories for Retrieval Augmented Generation jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Retrieval Augmented Generation jobs?

Cities near Phoenix, AZ with the most Retrieval Augmented Generation job openings:

Infographic showing various Retrieval Augmented Generation job openings in Phoenix, AZ as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Senior Java Backend Developer - GenAI

OmegaHires

Phoenix, AZ • On-site

$119K - $155K/yr

Contractor

Posted 18 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.