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Summer Retrieval Augmented Generation Jobs (NOW HIRING)

ARA

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 ...

XPath Solutions

Generative AI Engineer

Charlotte, NC · On-site

$60 - $72/hr

This role focuses on developing Agentic AI systems , Retrieval-Augmented Generation (RAG) , multimodal AI solutions , and high-performance LLM inference while integrating GenAI capabilities into ...

ClifyX

AI Architect

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 ...

ClifyX

Oracle Database 26ai Developer

San Jose, CA · On-site

Implement Retrieval-Augmented Generation (RAG) architectures with Oracle Database. * Create and manage vector embeddings and vector indexes. * Integrate Oracle Database with LLMs and Generative AI ...

Pronix Inc

Python AI Developer

Malvern, PA · On-site

$49.25 - $68/hr

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:

Accord Technologies Inc.

GEN AI Architect

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:

PB consulting

AI Programmer Analyst

Yonkers, NY · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Manhattan, NY · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Hoboken, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Oakland Gardens, NY · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Tenafly, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Fair Lawn, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Woodside, NY · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Demarest, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Mount Vernon, NY · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Elmhurst, NY · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

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Showing results 21-40

All JobsSummer Retrieval Augmented Generation Jobs

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:

Summer Retrieval Augmented Generation jobs near you

Senior AI Technologist

ARA

Raleigh, NC • On-site

$48.75 - $63/hr

Full-time

Re-posted 12 days ago

Job description

We are seeking an experienced AI Technologist to drive the discovery, design, and adoption of enterprise AI capabilities across the organization. This is a greenfield opportunity to help build our enterprise AI program from the ground up by identifying high-value use cases, assessing AI readiness, and guiding the implementation of secure, scalable AI solutions.
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, and automation frameworks to solve real business challenges and improve operational efficiency. This role focuses on applying existing AI technologies to deliver business value rather than developing or training AI models.
You will partner with technical teams to deploy AI solutions in highly regulated on-premises and cloud environments while ensuring alignment with security, governance, and enterprise architecture standards.
Essential Functions:
  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling.
  • Design and establish data structures, metadata models, naming conventions, and information architecture standards that enable scalable AI solutions.
  • Design AI solution approaches using existing technologies such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and orchestration frameworks to address business and operational challenges.
  • Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows.
  • Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows.
  • Define and support data preparation, ingestion, and retrieval workflows that enable production AI applications, retrieval-augmented generation (RAG), and AI agent solutions.
  • Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints.
  • Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls.
  • Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives.

Experience and Skills Required:
  • Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field 8-10 years of engineering experience
  • 3+ years of experience supporting AI, natural language processing, RAG, and related solutions.
  • Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications.
  • Experience designing vector databases and retrieval pipelines.
  • Experience developing MCP Servers and Clients.
  • Understanding of data quality management practices, including validation, normalization, deduplication, and error handling.
  • Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock).
  • Strong experience developing AI solutions in Python, Golang, or Typescript.
  • Strong analytical, troubleshooting, and documentation skills.
  • Excellent communication skills and the ability to work effectively with cross-functional teams.

Preferred:
  • Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ecosystems.
  • Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows.
  • Experience designing data schemas, taxonomies, ontologies, or metadata standards for enterprise information.
  • Experience working in regulated environments with standards such as NIST or CMMC.
  • Experience supporting scientific, engineering, defense, or national security-related data initiatives.
  • Experience working with DevOps systems, git, CI/CD, GitOps.
  • DoD experience.
  • Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance.

Education:
  • Bachelor's degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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