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Rag Engineer Jobs in Milan, IL (NOW HIRING)

3B Staffing LLC

Python / GenAI / AWS Engineer

Moline, IL · On-site

$62/hr

Design and implement advanced RAG (Retrieval Augmented Generation) architectures. * Develop multi ... Apply prompt engineering and evaluation techniques to improve AI system performance. * Backend ...

New

3B Staffing LLC

Python / GenAI / AWS Engineer

Moline, IL · On-site

$62/hr

Design and implement advanced RAG (Retrieval Augmented Generation) architectures. * Develop multi ... Apply prompt engineering and evaluation techniques to improve AI system performance. * Backend ...

New

OM Group Inc.

AI Solutions Engineer

Rock Island, IL

$125K - $150K/yr

Develop Retrieval-Augmented Generation (RAG) architectures * Create AI assistants for operational decision support * Configure prompt engineering strategies for enterprise use cases * Develop ...

NCC/ProMax

AI Software Engineer II (Credit)

Bettendorf, IA · Remote

$99K - $136K/yr

Experience with Retrieval-Augmented Generation (RAG). * Experience using vector databases and ... Exposure to CI/CD pipelines and DevOps practices. * Experience developing customer-facing SaaS ...

1 point system

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

Lead the development of generative AI applications , including LLMs , RAG models , AI Agents and custom AI pipelines * Implement prompt engineering, fine-tuning , and retrieval mechanisms for ...

All JobsRag Engineer JobsRag Engineer Jobs in Milan, IL

Rag Engineer information

See Milan, IL salary details

$56.8K

$86.5K

$146.7K

How much do rag engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for rag engineer in Milan, IL is $86,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $100,300.00 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 cities near Milan, IL are hiring for Rag Engineer jobs?

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

Rag Engineer jobs near you

Python / GenAI / AWS Engineer

3B Staffing LLC

Moline, IL • On-site

$62/hr

Full-time

Posted 3 days ago

New

Job description

Senior Python / GenAI / AWS Engineer

Location - Moline, IL- local or relocation will work too

client- John Deere

rate- $62hr C2C

Visa- NO H1-B

Overview

We are seeking a highly skilled engineer with deep expertise in Python, Generative AI, and AWS cloud services. The ideal candidate will design and develop scalable backend systems, agentic AI frameworks, and cloud-native architectures to support intelligent, retrieval-augmented applications.

Key Responsibilities

  • Generative AI & Agentic Frameworks
  • Design and implement advanced RAG (Retrieval Augmented Generation) architectures.
  • Develop multi-agent workflows using LangChain, LangGraph, and MCP (Agentic Framework).
  • Optimize retrieval pipelines, context routing, and grounding strategies for LLM-based applications.
  • Apply prompt engineering and evaluation techniques to improve AI system performance.
  • Backend Engineering
  • Develop robust and scalable backend services using:
    • Python
    • FastAPI
  • Build APIs and microservices to support AI-driven workloads.
  • Ensure high-quality code design, documentation, and maintainability.
  • Data Engineering & Pipelines
  • Build data ingestion and processing workflows for structured and unstructured content.
  • Parse and transform XML (PDF/HTML experience is a plus).
  • Design indexing strategies for advanced search and retrieval systems.
  • Manage data processing pipelines for storing and querying content efficiently.
  • Cloud Architecture & DevOps (AWS)
  • Architect and implement cloud-native systems using:
    • Lambda
    • RDS
    • OpenSearch
    • S3
    • SQS
    • DynamoDB
    • ECS / EC2 / ECR
    • API Gateway
  • Maintain cloud infrastructure with high availability, scalability, and cost efficiency.
  • Implement CI/CD workflows and follow cloud security best practices.

Required Skills & Qualifications

  • Strong proficiency in Python and modern backend frameworks.
  • Expertise with FastAPI for API and service development.
  • Hands-on experience with Generative AI, RAG systems, and agentic frameworks (LangChain, LangGraph, MCP).
  • Strong understanding of vector stores, embeddings, semantic search, and retrieval pipelines.
  • Deep experience with AWS services listed above.
  • Solid understanding of data engineering patterns, including document processing and ingestion pipelines.
  • Experience designing distributed, cloud-native systems.

Preferred Qualifications

  • Experience with XML, PDF, or HTML document processing.
  • Background in enterprise or knowledge-management systems.
  • Familiarity with AI evaluation tools, prompt optimization, and LLM observability.
  • Experience with multimodal document ingestion pipelines.

Apply