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Rag Engineer Jobs in Addison, IL (NOW HIRING)

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

The AI Engineer designs, develops, and deploys AI/ML-powered software solutions that advance Atlas ... Experience with LLM-based applications (prompting patterns, tool/function calling, RAG, embeddings ...

New

AI Engineer - Enterprise Business Systems

Chicago, IL · On-site

$110K - $137K/yr

Contribute to the development of generative AI and LLM-based solutions using prompt engineering, retrieval-augmented generation (RAG), vector search, orchestration frameworks, and model fine-tuning ...

Develop intelligent workflows, RAG pipelines, and prompt engineering strategies for business use cases. * Integrate LLMs into enterprise systems and services via APIs and SDKs. * Optimize model usage ...

Architect and integrate agentic AI and LLM-driven workflows (autonomous agents, RAG pipelines, AI ... Set engineering standards and best practices for data quality, modeling, testing, observability ...

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Fitch Solutions is currently seeking a Senior Gen AI Software Engineer based out of our Chicago ... Proven experience in developing and deploying intelligent conversational AI systems using RAG ...

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Fitch Solutions is currently seeking a Senior Gen AI Software Engineer based out of our Chicago ... Proven experience in developing and deploying intelligent conversational AI systems using RAG ...

Showing results 21-40

Rag Engineer information

See Addison, IL salary details

$59.6K

$90.7K

$153.8K

How much do rag engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for rag engineer in Addison, IL is $90,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $105,200.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What job categories do people searching Rag Engineer jobs in Addison, IL look for?

The top searched job categories for Rag Engineer jobs in Addison, IL are:

What cities near Addison, IL are hiring for Rag Engineer jobs?

Cities near Addison, IL with the most Rag Engineer job openings:

$107K - $147K/yr

Other

Medical, Dental, Vision, PTO

Posted 16 days ago


Job description

Join an innovative organization that is investing heavily in Artificial Intelligence, Generative AI, and advanced machine learning capabilities to transform how the business operates and delivers value. We are seeking a Senior AI Engineer to design, develop, and deploy intelligent solutions leveraging LLMs, Python, Azure OpenAI, Machine Learning, Vector Databases, RAG architectures, and cloud-native AI technologies. This is a full-time opportunity for an experienced engineer who wants to build production-grade AI systems that directly impact business outcomes..
You'll be at the forefront of bringing AI from concept to production, building applications that employees and customers use every day. We're looking for someone who loves solving complex problems, experimenting with emerging technologies, and creating scalable AI solutions that drive measurable results. You'll have the opportunity to influence the organization's AI strategy, work with executive stakeholders, and gain hands-on experience with the latest advancements in Generative AI. If you're excited by high-impact projects, technical ownership, and the chance to help shape the future of AI within an enterprise environment, we'd love to talk with you.
Required Skills & Experience
  • 5+ years of software engineering, machine learning, or AI engineering experience
  • 2+ years building and deploying Generative AI solutions in production
  • Strong experience with Python development
  • Experience working with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Llama, etc.)
  • Experience implementing Retrieval Augmented Generation (RAG) architectures
  • Knowledge of prompt engineering and AI application design patterns
  • Experience deploying applications within Azure, AWS, or Google Cloud Platform environments
  • Strong understanding of REST APIs, microservices, and scalable system design
  • Strong communication skills and ability to translate business requirements into AI solutions
Desired Skills & Experience
  • Azure AI Foundry, Azure OpenAI, or Microsoft AI ecosystem experience
  • Experience fine-tuning or optimizing foundation models
  • LangChain, LangGraph, Semantic Kernel, or similar AI frameworks
  • Experience with ML Ops practices and model lifecycle management
  • Knowledge of NLP, recommendation engines, or predictive analytics
  • Experience developing AI agents and multi-agent workflows
  • Experience with Databricks and machine learning platforms
  • Containerization experience with Docker and Kubernetes
What You Will Be Doing
Daily Responsibilities
  • 70% Hands On
  • 30% Team Collaboration

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.