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Rag Engineer Jobs in Elgin, IL (NOW HIRING)

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy ... Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI ...

The Hartford

Sr AI Engineer - Platform Engineering

Chicago, IL · On-site

$107K - $147K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledgegraph-augmented ...

Vizient, Inc.

Sr AI/ML Engineer

Chicago, IL

$102K - $179K/yr

We are seeking engineers who are driven, curious, and energized by the pace of AI innovation ... Design and implement RAG pipelines, embedding strategies, and vector search architectures. Build ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI ... Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI ...

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

AI/ML Engineer Senior Advisor Location: Chicago IL -Hybrid - 3 days/week onsite Duration: 6-12 ... Familiarity with RAG (Retrieval-Augmented Generation) pipelines and integration into enterprise ...

Deloitte

AI Engineer Consultant

Chicago, IL · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Epsilon

Staff Software Engineer

Chicago, IL · On-site

Architect, build, and integrate RAG-based solutions and Agentic AI workflows into enterprise ... Mentor and develop engineers across the team. Focus especially on development practices guided by ...

fairlife

AI Automation Engineer

Chicago, IL · On-site

$10K/mo

Implement retrieval-augmented generation (RAG) pipelines to ground agents in fairlife's domain-specific data * Apply prompt engineering, tool and function calling, and rigorous evaluation to make ...

fairlife

AI Automation Engineer

Chicago, IL · On-site

$10K/mo

Implement retrieval-augmented generation (RAG) pipelines to ground agents in fairlife's domain-specific data * Apply prompt engineering, tool and function calling, and rigorous evaluation to make ...

Workday

Senior AI Deployment Engineer

Chicago, IL

$57 - $73.50/hr

Practical experience with AI concepts such as LLMs , retrievalaugmented generation (RAG) , prompt ... with developers, data engineers, and product teams * Demonstrated decisionmaking and work ...

Zion Cloud Solutions

Forward Deployed Engineer

Deerfield, IL · On-site

$56.75 - $75.75/hr

Practical understanding of Retrieval-Augmented Generation (RAG) architectures, prompt engineering, or multi-agent systems. * Consultative Delivery: Proven track record of navigating complex ...

New

fairlife

AI Automation Engineer

Chicago, IL · On-site

$10K/mo

Implement retrieval-augmented generation (RAG) pipelines to ground agents in fairlife's domain-specific data * Apply prompt engineering, tool and function calling, and rigorous evaluation to make ...

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Showing results 41-60

All JobsRag Engineer JobsRag Engineer Jobs in Elgin, IL

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:

Rag Engineer jobs near you
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.

AI Developer

Tror AI for everyone

Mettawa, IL • On-site

$80/hr

Contractor

Re-posted 24 days ago

Job description

Role: Senior AI Developer

Location: Mettawa, IL (Onsite)

Rate: $80/hr on C2C

Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.

This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.

Key Responsibilities

  • Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
  • Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured).
  • GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
  • Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
  • Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
  • Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
  • Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI. 

 

Required Skills & Qualifications

  • Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
  • Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
  • Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
  • GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
  • Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
  • Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
  • Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.