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Retrieval Augmented Generation Jobs (NOW HIRING)

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 ...

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

AI Engineer

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

AI Engineer

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

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

Senior AI Technologist

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 ...

Senior AI Technologist

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 ...

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 ...

Senior AI Technologist

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 ...

GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...

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 ...

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Retrieval Augmented Generation information

What are the typical daily responsibilities of a Retrieval Augmented Generation engineer?

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 job?

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 are the key skills and qualifications needed to thrive in the Retrieval Augmented Generation position, and why are they important?

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.

More about Retrieval Augmented Generation jobs
What cities are hiring for Retrieval Augmented Generation jobs? Cities with the most Retrieval Augmented Generation job openings:
What are the most commonly searched types of Retrieval Augmented Generation jobs? The most popular types of Retrieval Augmented Generation jobs are:
What states have the most Retrieval Augmented Generation jobs? States with the most job openings for Retrieval Augmented Generation jobs include:
Infographic showing various Retrieval Augmented Generation job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.
Junior AI Engineer

Junior AI Engineer

ITR Group

Minneapolis, MN • On-site

Other

Posted 8 days ago


Job description

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.


Responsibilities

  • Develop and support Generative AI applications using Azure AI services and OpenAI models.
  • Assist in designing and implementing Retrieval-Augmented Generation (RAG) pipelines.
  • Build document ingestion, indexing, embedding, and retrieval workflows.
  • Develop APIs and backend services supporting AI-powered applications.
  • Work with structured and unstructured data sources to improve AI response quality.
  • Integrate AI solutions with enterprise applications and business workflows.
  • Collaborate with data engineers to prepare and optimize datasets for AI applications.
  • Evaluate AI model performance and continuously improve prompt engineering and retrieval strategies.
  • Participate in code reviews, testing, debugging, and deployment activities.
  • Document AI solutions, technical designs, and best practices.


Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (or equivalent experience).
  • 1–3 years of software engineering or AI development experience.
  • Experience with Python.
  • Understanding of REST APIs and backend development.
  • Familiarity with Large Language Models (LLMs) and Generative AI concepts.
  • Basic understanding of Retrieval-Augmented Generation (RAG) architecture.
  • Experience working with Git and Agile development methodologies.
  • Strong problem-solving and analytical skills.
  • Experience with Microsoft Azure cloud services.





ITR Group logo

About ITR Group

Sourced by ZipRecruiter

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.

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mendota Heights, MN, US

Year founded

1997

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