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Ai Rag Jobs in Geneva, IL (NOW HIRING)

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

... RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data ...

Pulsora, Inc.

AI Engineer - United States

Chicago, IL · Remote

$50K - $60K/yr

Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases ... Expose AI/LLM functionality written in Python using Java services, leverage multi-threading ...

US Bank

Lead AI Platform Engineer

Chicago, IL

$105K - $139K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Gallagher

Sr. AI Engineering Lead

Rolling Meadows, IL · On-site

NET and Python) for RAG pipelines, AI agent orchestration, and API integrations; remain a strong individual contributor while leading the team. * Set Engineering Standards: Establish patterns for ...

Epsilon

AI Engineer - Enterprise Business Systems

Chicago, IL · On-site

$110K - $137K/yr

Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences. * Experience working with cloud platforms ...

Saransh Inc

Enterprise AI Architect - Remote

Chicago, IL · On-site

$71 - $91.75/hr

Establish reference patterns for LLM orchestration, RAG pipelines, agent‑based automation, and ... Design AI/Automation Centers of Excellence, policy guardrails, and federated governance models ...

Fitch Group

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Fitch Solutions

Senior Gen AI Software Engineer

Chicago, IL

$126K - $166K/yr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

US Bank

AI Research Scientist

Chicago, IL · On-site

Develop solutions leveraging foundation models, generative AI, retrieval-augmented generation (RAG), fine-tuning techniques, and agentic workflows. * Design and evaluate AI agents, multi-agent ...

Stefanini

Lead AI Engineer

Chicago, IL · On-site

$105K - $139K/yr

Stefanini is looking for a Lead AI Engineer (REMOTE) For quick apply, please reach out to Madelaine ... Experience building RAG / document intelligence pipelines over unstructured content (e.g ...

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Showing results 41-60

All JobsAi Rag JobsAi Rag Jobs in Geneva, IL

Ai Rag information

See Geneva, IL salary details

$31.2K

$56.8K

$81.5K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Geneva, IL is $56,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $63,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Geneva, IL? For Ai Rag jobs in Geneva, IL, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Geneva, IL look for? The top searched job categories for Ai Rag jobs in Geneva, IL are:
What cities near Geneva, IL are hiring for Ai Rag jobs? Cities near Geneva, IL with the most Ai Rag job openings:
Ai Rag jobs near you

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 7 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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