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Rag Engineer Jobs in Elgin, IL (NOW HIRING)

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 ยท 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 ยท 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 ยท 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 ...

Sr AI/ML Engineer

Chicago, IL ยท On-site

$102.40 - $179/hr

Sr AI/ML Engineer page is loaded## Sr AI/ML Engineerlocations: Irving, TX 75062 Vizient Corporate ... Design and implement RAG pipelines, embedding strategies, and vector search architectures.* Build ...

Showing results 21-40

Rag Engineer information

See Elgin, IL salary details

$58.8K

$89.5K

$151.7K

How much do rag engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for rag engineer in Elgin, IL is $89,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,700.00 and $103,800.00 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 are popular job titles related to Rag Engineer jobs in Elgin, IL?

For Rag Engineer jobs in Elgin, IL, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Rag Engineer job openings in Elgin, IL as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $89,471 per year, or $43 per hour.

Military/Veteran Mental Health Experts - Remote

YO AI Labs

Chicago, IL โ€ข Remote

$200 - $350/hr

Full-time

Posted 9 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. 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 optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.