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Internship Retrieval Augmented Generation Jobs in Illinois

9to9 Software Solutions LLC

AI Lead

Chicago, IL · On-site

$144K - $177K/yr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

Tekfortune Inc.

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Retrieval-Augmented Generation (RAG) pipelines, semantic caching, and context window optimization. * Function calling, tool use, and structured data extraction schemas. * Evaluation metrics, tracing ...

TEKsystems

AI Solutions Architect

Lincolnshire, IL

$85 - $110/hr

Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration ...

TEKsystems

AI Solutions Architect

Lincolnshire, IL · On-site

$66.25 - $87.50/hr

Generative AI, RAG, and Agentic AI Architecture (Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and multi-agent systems, Prompt engineering and context orchestration ...

RPA Infotech Digital Inc.

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Key Responsibilities 1. Architecture Design Build enterprise Generative and Agentic AI platforms featuring high-performance RAG (Retrieval-Augmented Generation) pipelines and vector database ...

New

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure ...

rSTAR Technologies LLC.

AI Architect

Westmont, IL · On-site

$63.50 - $82.75/hr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

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Internship Retrieval Augmented Generation information

What is an internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Illinois?

The most popular types of Retrieval Augmented Generation jobs in Illinois are:

What are popular job titles related to Internship Retrieval Augmented Generation jobs in Illinois?

For Internship Retrieval Augmented Generation jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Internship Retrieval Augmented Generation jobs in Illinois look for?

The top searched job categories for Internship Retrieval Augmented Generation jobs in Illinois are:

What cities in Illinois are hiring for Internship Retrieval Augmented Generation jobs?

Cities in Illinois with the most Internship Retrieval Augmented Generation job openings:

Internship Retrieval Augmented Generation jobs near you
Infographic showing various Internship Retrieval Augmented Generation job openings in Illinois as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Experienced AI Engineer - Generative AI/Machine Learning

RLI Corp.

Chicago, IL • On-site

$100K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

About Us
We're not like other insurance companies. From our specialty products to our business model, our culture to our results - we're different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn't just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us.
RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar - a testament to our culture and validation of our reputation as an excellent underwriting company.
Position Purpose
Under general management, design, develop, and deliver next-generation AI solutions that improve business processes across the enterprise. Develop intelligent applications, integrate AI capabilities with enterprise systems, and build scalable cloud-native solutions that enable automation, knowledge discovery, and operational efficiency. Collaborate with product owners, architects, business stakeholders, and development teams to design secure, scalable, and maintainable AI-enabled solutions that solve complex business challenges.
Principal Duties & Responsibilities
  • Design, develop, test, and deploy enterprise AI applications using modern software engineering practices.
  • Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies.
  • Develop scalable backend services, REST APIs, and cloud-native applications that integrate AI capabilities with enterprise systems.
  • Design and implement integrations using APIs, messaging, and event-driven architectures.
  • Develop document processing, OCR, and knowledge extraction solutions using AI technologies.
  • Design and implement vector search, semantic retrieval, and enterprise knowledge base solutions.
  • Deploy, manage, and optimize applications within Kubernetes-based environments.
  • Collaborate with business partners to understand business needs and translate them into practical AI-enabled solutions.
  • Participate in architecture reviews, code reviews, Agile ceremonies, technical planning, and solution design discussions.
  • Contribute to CI/CD pipelines, infrastructure automation, and software engineering best practices.
  • Mentor team members and promote high standards for software quality, testing, security, observability, and maintainability.
  • Assist with special projects or perform other duties as assigned.

Education & Experience
  • Typically requires a Bachelor's degree in computer science or a related field
  • Minimum of 7 years of professional software engineering experience designing, developing, and supporting enterprise applications.
    • Equivalent combination of education and experience will be considered.
  • Experience designing and developing cloud-native applications, distributed systems, and RESTful APIs.
  • Experience developing AI-enabled applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agent frameworks, and prompt engineering techniques.
  • Experience designing and implementing vector databases, vector search, embeddings, and semantic retrieval solutions.
  • Experience using AI-assisted software development tools to improve software design, development, testing, and delivery.
  • Experience working within Agile software development environments utilizing Git-based source control and CI/CD practices.

Knowledge, Skills, & Competencies
  • Strong proficiency in Python and modern software engineering principles.
  • Strong understanding of software architecture, object-oriented design, and design patterns.
  • Ability to design and develop scalable cloud-native applications utilizing Kubernetes, Docker, REST APIs, and microservices.
  • Knowledge of modern AI application architecture including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, LangGraph, LangChain, Azure AI Foundry, prompt engineering, and AI model evaluation.
  • Ability to design and implement vector search, semantic retrieval, embeddings, and knowledge ingestion pipelines for enterprise AI solutions.
  • Knowledge of intelligent document processing technologies including OCR, document processing pipelines, and structured and unstructured document extraction.
  • Experience integrating enterprise systems using APIs, messaging, and event-driven architectures.
  • Knowledge of DevOps tools and practices including Git, GitLab, GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines.
  • Ability to leverage AI-assisted development tools while maintaining high standards for software quality, security, testing, and observability.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Demonstrates the ability to evaluate emerging AI technologies and apply them to solve complex business problems.

Compensation Overview
The base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope & responsibilities of the role, qualifications/credentials, talent availability & specialization, as well as business needs. The below range may be modified in the future.
Base Pay Range
$120,515.00 - $175,650.00
Total Rewards
At RLI, we're all owners. We hire the best and the brightest employees and allow them to share in the company's success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee.
Financial Incentives
  • Annual bonus plans
  • Employee stock ownership plan (ESOP)
  • 401(k) - automatic 3% company contribution
  • Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)

Work & Life
  • Paid time off (PTO) and holidays
  • Paid volunteer time off (VTO) to support our communities
  • Parental and family care leave
  • Flexible & hybrid work arrangements
  • Fitness center discounts and free virtual fitness platform
  • Employee assistance program

Health & Wellness
  • Comprehensive medical, dental and vision benefits
  • Flexible spending and health savings accounts
  • 2x base salary for group life and AD&D insurance
  • Voluntary life, critical illness, & accident insurance for purchase
  • Short-term and long-term disability benefits

Personal & Professional Growth
RLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include:
  • Training & certification opportunities
  • Tuition reimbursement
  • Education bonuses

Diversity & Inclusion
Our goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results.
RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.
RLI logo

About RLI

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Peoria, IL, US

Year founded

1965

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