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 ...
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 ...
Peoria, AZ · On-site
$95K - $131K/yr
Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...
Peoria, AZ · On-site
$95K - $131K/yr
Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...
Tempe, AZ · On-site
$93K - $127K/yr
Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...
Tempe, AZ · On-site
$93K - $127K/yr
Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...
Phoenix, AZ · On-site
$52.25 - $67.25/hr
This includes integrating OpenAI/Anthropic APIs, implementing Retrieval-Augmented Generation (RAG) architectures, and utilizing frameworks like LangChain or Semantic Kernel within Java environments.
Phoenix, AZ · On-site
$52.25 - $67.25/hr
This includes integrating OpenAI/Anthropic APIs, implementing Retrieval-Augmented Generation (RAG) architectures, and utilizing frameworks like LangChain or Semantic Kernel within Java environments.
Phoenix, AZ · On-site
$100K - $120K/yr
... retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities ...
Phoenix, AZ · On-site
$100K - $120K/yr
... retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities ...
Phoenix, AZ · On-site
$52.25 - $67.25/hr
Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring ...
Phoenix, AZ · On-site
$52.25 - $67.25/hr
Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring ...
Phoenix, AZ · On-site
$64K - $108K/yr
... retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities ...
Phoenix, AZ · On-site
$64K - $108K/yr
... retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities ...
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 ...
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 ...
Phoenix, AZ · 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 ...
Phoenix, AZ · 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 ...
Phoenix, AZ · On-site
$103K - $142K/yr
... retrieval-augmented generation (RAG) pipelines over proprietary data to keep outputs grounded and accurate · Integrate LLM capabilities into internally built (homegrown) applications via APIs ...
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Phoenix, AZ · On-site
$103K - $142K/yr
... retrieval-augmented generation (RAG) pipelines over proprietary data to keep outputs grounded and accurate · Integrate LLM capabilities into internally built (homegrown) applications via APIs ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
Phoenix, AZ · On-site
Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS . * Experience integrating AI models such as ...
Phoenix, AZ · On-site
Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS . * Experience integrating AI models such as ...
Phoenix, AZ · On-site
... 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 ...
Phoenix, AZ · On-site
... 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 ...
$147K - $202K/yr
Design and implement production AI platform capabilities, including agents, retrieval-augmented generation, tool calling, workflow orchestration, evaluation, and human review. * Build an AI-native ...
$147K - $202K/yr
Design and implement production AI platform capabilities, including agents, retrieval-augmented generation, tool calling, workflow orchestration, evaluation, and human review. * Build an AI-native ...
Establish reusable patterns for retrieval-augmented generation, intelligent agents, model selection, evaluation, guardrails, prompt and knowledge management, observability, security, cost ...
Establish reusable patterns for retrieval-augmented generation, intelligent agents, model selection, evaluation, guardrails, prompt and knowledge management, observability, security, cost ...
Tempe, AZ · On-site
Practical experience building Generative AI and Retrieval-Augmented Generation (RAG) solutions, including vector databases, embeddings, and retrieval pipelines. Understands model evaluation, prompt ...
Tempe, AZ · On-site
Practical experience building Generative AI and Retrieval-Augmented Generation (RAG) solutions, including vector databases, embeddings, and retrieval pipelines. Understands model evaluation, prompt ...
Phoenix, AZ · On-site
Data & Retrieval: Proficiency in vector databases (Pinecone, Weaviate, Chroma, Milvus) and building Retrieval-Augmented Generation (RAG) or GraphRAG pipelines. * Agentic Workflows: Designing multi ...
Phoenix, AZ · On-site
Data & Retrieval: Proficiency in vector databases (Pinecone, Weaviate, Chroma, Milvus) and building Retrieval-Augmented Generation (RAG) or GraphRAG pipelines. * Agentic Workflows: Designing multi ...
Scottsdale, AZ · On-site
$140 - $190/hr
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 ...
Scottsdale, AZ · On-site
$140 - $190/hr
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 ...
Scottsdale, AZ · On-site
$120 - $180/hr
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 ...
Scottsdale, AZ · On-site
$120 - $180/hr
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 ...
Phoenix, AZ · 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 ...
Phoenix, AZ · 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 ...
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.
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.
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.
For Retrieval Augmented Generation jobs in Phoenix, AZ, the most frequently searched job titles are:
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Cities near Phoenix, AZ with the most Retrieval Augmented Generation job openings:
$100K - $110K/yr
Full-time
Re-posted 14 days ago
