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Summer 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 ...

Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

The role focuses on Retrieval Augmented Generation (RAG), semantic search, vector databases, metadata engineering, and enterprise knowledge orchestration to deliver secure, accurate, and context ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

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 ...

Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases. * Create AI agents and workflow automation solutions. * Fine-tune, evaluate, and optimize AI models for performance and ...

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 ...

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Summer Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Retrieval Augmented Generation (RAG) Engineer, and why are they important?

To thrive as a Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, typically supported by a degree in computer science or a related field. Proficiency with frameworks like PyTorch or TensorFlow, experience with vector databases (e.g., FAISS, Pinecone), and familiarity with LLM APIs are commonly required. Creative problem-solving, strong communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These competencies ensure effective development, deployment, and optimization of advanced AI systems that integrate retrieval and generative capabilities.

What is a Summer Retrieval Augmented Generation role?

A Summer Retrieval Augmented Generation (RAG) role typically refers to a summer position focused on developing or improving retrieval-augmented generation systems, which are AI models that combine information retrieval with generative capabilities. In this role, you might work on integrating search algorithms with large language models, enabling systems to fetch relevant information from external sources and generate accurate, context-aware responses. These positions are often found in research labs, tech companies, or startups working on advanced AI applications, and are ideal for students or early-career professionals interested in machine learning, natural language processing, and AI research.

What are some common challenges faced when working on Retrieval-Augmented Generation (RAG) projects during a summer internship?

During a summer internship focused on Retrieval-Augmented Generation (RAG), interns often encounter challenges such as integrating retrieval systems with generative models, managing large-scale datasets, and optimizing latency for real-time responses. Collaboration with cross-functional teams—including data engineers, research scientists, and product managers—is essential for aligning project goals and troubleshooting implementation issues. Additionally, interns may need to balance exploratory research with delivering usable prototypes within tight timeframes, which helps develop both technical and project management skills.
What cities are hiring for Summer Retrieval Augmented Generation jobs? Cities with the most Summer 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 Summer Retrieval Augmented Generation jobs? States with the most job openings for Summer Retrieval Augmented Generation jobs include:
Junior AI Engineer

Junior AI Engineer

ITR Group

Minneapolis, MN • On-site

Other

Posted 22 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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