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.
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.
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 ...
New
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 ...
New
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 ...
Phoenix, AZ · On-site
... 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
... 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 ...
Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...
Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...
Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...
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
$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 ...
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 ...
Develop Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, semantic search, embeddings, and knowledge repositories. * Create prompt engineering frameworks, reusable prompt ...
Develop Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, semantic search, embeddings, and knowledge repositories. * Create prompt engineering frameworks, reusable prompt ...
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 ...
New
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 ...
New
$82K - $110K/yr
... Skills: - Retrieval-Augmented Generation (RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing ...
$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
$100K - $130K/yr
LLM APIs (OpenAI / Gemini / Claude) • Prompt engineering Understanding of: • RAG (Retrieval-Augmented Generation) • Embeddings & vector databases Roles & Responsibilities • Experience with ...
Phoenix, AZ · On-site
$100K - $130K/yr
LLM APIs (OpenAI / Gemini / Claude) • Prompt engineering Understanding of: • RAG (Retrieval-Augmented Generation) • Embeddings & vector databases Roles & Responsibilities • Experience with ...
... 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
$52 - $57/hr
Create intelligent data capabilities utilizing Retrieval-Augmented Generation (RAG), GraphRAG, and agent-based architectures. * Collaborate with cross-functional stakeholders to define technical ...
Phoenix, AZ · On-site
$52 - $57/hr
Create intelligent data capabilities utilizing Retrieval-Augmented Generation (RAG), GraphRAG, and agent-based architectures. * Collaborate with cross-functional stakeholders to define technical ...
Scottsdale, AZ · On-site
... 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 ...
Scottsdale, AZ · On-site
... 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 ...
$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 ...
$122K - $161K/yr
Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. Engineer authentication ...
$122K - $161K/yr
Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. Engineer authentication ...
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 ...
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 ...
Gilbert, AZ · On-site
... retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. o Engineer authentication, authorization, and identity controls for AI agents, service accounts, and ...
Gilbert, AZ · On-site
... retrieval-augmented generation, and AI agents, with secure access to data and downstream systems. o Engineer authentication, authorization, and identity controls for AI agents, service accounts, and ...
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 ...
Scottsdale, AZ · Hybrid
$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 ...
Scottsdale, AZ · Hybrid
$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 ...
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.
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.
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.
$50.25 - $65/hr
Other
Posted 12 days ago
Job Description: Position Summary
