Junior AI Engineer
Minneapolis, MN · On-site
Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services , Retrieval-Augmented Generation (RAG) , and modern ...
Minneapolis, MN · On-site
Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services , Retrieval-Augmented Generation (RAG) , and modern ...
Minneapolis, MN · On-site
Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services , Retrieval-Augmented Generation (RAG) , and modern ...
Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You ...
Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You ...
Charlotte, NC · On-site
Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions. Develop AI-powered applications using Python and modern AI frameworks. Integrate OpenAI, Azure OpenAI ...
New
Charlotte, NC · On-site
Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions. Develop AI-powered applications using Python and modern AI frameworks. Integrate OpenAI, Azure OpenAI ...
New
Las Vegas, NV · On-site
$60 - $70/hr
Develop RAG (Retrieval-Augmented Generation) applications using vector databases. * Build REST APIs and integrate AI services with enterprise applications. * Design AI agents, chatbots, and ...
New
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Las Vegas, NV · On-site
$60 - $70/hr
Develop RAG (Retrieval-Augmented Generation) applications using vector databases. * Build REST APIs and integrate AI services with enterprise applications. * Design AI agents, chatbots, and ...
New
Las Vegas, NV · On-site
$60 - $70/hr
Develop RAG (Retrieval-Augmented Generation) applications using vector databases. * Build REST APIs and integrate AI services with enterprise applications. * Design AI agents, chatbots, and ...
New
Quick apply
Las Vegas, NV · On-site
$60 - $70/hr
Develop RAG (Retrieval-Augmented Generation) applications using vector databases. * Build REST APIs and integrate AI services with enterprise applications. * Design AI agents, chatbots, and ...
New
Pittsburgh, PA · On-site
The role focuses on Retrieval Augmented Generation (RAG), semantic search, vector databases, metadata engineering, and enterprise knowledge orchestration to deliver secure, accurate, and context ...
New
Pittsburgh, PA · On-site
The role focuses on Retrieval Augmented Generation (RAG), semantic search, vector databases, metadata engineering, and enterprise knowledge orchestration to deliver secure, accurate, and context ...
New
Charlotte, NC · On-site
$95K - $130K/yr
Design and implement Retrieval-Augmented Generation (RAG) architectures utilizing vector databases and semantic search techniques. Build agentic AI applications leveraging multi-agent frameworks ...
Charlotte, NC · On-site
$95K - $130K/yr
Design and implement Retrieval-Augmented Generation (RAG) architectures utilizing vector databases and semantic search techniques. Build agentic AI applications leveraging multi-agent frameworks ...
Albuquerque, NM · On-site +1
$50.50 - $65/hr
Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...
Albuquerque, NM · On-site +1
$50.50 - $65/hr
Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...
Raleigh, NC · On-site +1
$48.75 - $63/hr
Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...
Raleigh, NC · On-site +1
$48.75 - $63/hr
Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...
... Retrieval-Augmented Generation (RAG), and Agentic AI models. Key Responsibilities • Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG ...
... Retrieval-Augmented Generation (RAG), and Agentic AI models. Key Responsibilities • Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG ...
Mount Laurel, NJ · On-site
Responsibilities : • Building production-ready AI services and APIs using Python • LLM integration • Prompt engineering frameworks • RAG (Retrieval-Augmented Generation) pipelines • Vector ...
Mount Laurel, NJ · On-site
Responsibilities : • Building production-ready AI services and APIs using Python • LLM integration • Prompt engineering frameworks • RAG (Retrieval-Augmented Generation) pipelines • Vector ...
Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...
Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...
Jersey City, NJ · On-site
$126K - $170K/yr
The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a ...
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Jersey City, NJ · On-site
$126K - $170K/yr
The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a ...
Charlotte, NC · On-site
AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years
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Charlotte, NC · On-site
AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years
Raleigh, NC · On-site
$48.75 - $63/hr
Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...
Raleigh, NC · On-site
$48.75 - $63/hr
Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...
Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...
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Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...
Plano, TX · On-site
GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...
Plano, TX · On-site
GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...
New York, NY · On-site
The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:
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New York, NY · On-site
The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:
Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...
Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...
Build Retrieval-Augmented Generation (RAG) systems using semantic search and vector databases * Integrate OpenAI, Anthropic, and other LLM APIs using function calling, structured outputs, and ...
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Build Retrieval-Augmented Generation (RAG) systems using semantic search and vector databases * Integrate OpenAI, Anthropic, and other LLM APIs using function calling, structured outputs, and ...
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.

Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services, Retrieval-Augmented Generation (RAG), and modern cloud technologies. This is an excellent opportunity for an early-career AI engineer with a strong software engineering foundation and a passion for developing AI-powered solutions.
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At ITR Group, we relish the challenge of the ever evolving IT services industry and enjoy being the strategic edge that’s key to our clients’ success. At the same time, we want our consultants to know they have an advocate and a home base. As one of the region’s longest lasting IT consulting groups, these are all elements of our secret sauce, the Everyday Excellence that has helped us thrive.
It services
1 - 10 Employees
Mendota Heights, MN, US
1997