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Rag Developer Jobs in Illinois (NOW HIRING)

Work closely with engineering and business teams to build and deploy AI models. * Design and develop LLM, RAG, and multi-agent solutions. * Establish best practices for AI evaluation, deployment ...

Work closely with engineering and business teams to build and deploy AI models. * Design and develop LLM, RAG, and multi-agent solutions. * Establish best practices for AI evaluation, deployment ...

Work closely with engineering and business teams to build and deploy AI models. * Design and develop LLM, RAG, and multi-agent solutions. * Establish best practices for AI evaluation, deployment ...

Work closely with engineering and business teams to build and deploy AI models. * Design and develop LLM, RAG, and multi-agent solutions. * Establish best practices for AI evaluation, deployment ...

Work closely with engineering and business teams to build and deploy AI models. * Design and develop LLM, RAG, and multi-agent solutions. * Establish best practices for AI evaluation, deployment ...

Work closely with engineering and business teams to build and deploy AI models. * Design and develop LLM, RAG, and multi-agent solutions. * Establish best practices for AI evaluation, deployment ...

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring, governance, explainability ...

Work closely with engineering and business teams to build and deploy AI models. * Design and develop LLM, RAG, and multi-agent solutions. * Establish best practices for AI evaluation, deployment ...

Showing results 41-60

Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What job categories do people searching Rag Developer jobs in Illinois look for?

The top searched job categories for Rag Developer jobs in Illinois are:

What cities in Illinois are hiring for Rag Developer jobs?

Cities in Illinois with the most Rag Developer job openings:

Infographic showing various Rag Developer job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Full-time

Posted 19 days ago


Job description

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems.

Must-Have Technical Skills
  • Strong hands-on experience in AI/ML development and production deployment.
  • Experience with Databricks, MLflow, Unity Catalog, Delta Lake, and model serving.
  • Experience with Azure AI Foundry and modern AI/ML platforms.
  • Strong knowledge of RAG and LLM application architecture.
  • Experience building multi-agent systems and workflows.
  • Experience with MCP/tool calling and frameworks such as LangGraph, Semantic Kernel, or OpenAI Agents SDK.
  • Strong Python development skills for production AI/ML applications.
  • Experience with CI/CD, MLOps, and AIOps.
  • Knowledge of LLM/RAG/agent evaluation, observability, tracing, and monitoring.
  • Experience with production debugging and performance optimization.
  • Ability to create reusable AI accelerators, templates, skills, and reference implementations.
Roles & Responsibilities
  • Define and implement AI/ML architecture and solutions.
  • Work closely with engineering and business teams to build and deploy AI models.
  • Design and develop LLM, RAG, and multi-agent solutions.
  • Establish best practices for AI evaluation, deployment, monitoring, and production support.
  • Improve and standardize applied AI delivery patterns.
  • Accelerate AI adoption through reusable components, templates, and reference architectures.
  • Provide technical leadership and guidance to AI/ML engineering teams.