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Ai Rag Jobs in Illinois (NOW HIRING)

Data & AI Architect

Elmhurst, IL · On-site

$63.50 - $81.75/hr

This role focuses on defining and implementing foundational elements for AI adoption - Architecture patterns (Gen-AI, RAG, MCP, Agentic workflows etc.), tooling, process & governance in collaboration ...

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

Contact Center Solution Architect

Chicago, IL · Remote

$65 - $85.50/hr

Orchestration of solutions designs involving above + Middleware + end data system /generative AI+RAG * 8+ years of hands on technical experience in Contact Center & CX platforms * 8+ years of ...

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

Principal, AI Engineer

Chicago, IL · On-site

$137.40 - $233.60/hr

AI design patterns** (RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment.** **1. Lead development of a portfolio of client-facing AI ...

Data & AI Architect

Elmhurst, IL · On-site

$63.50 - $81.75/hr

This role focuses on defining and implementing foundational elements for AI adoption - Architecture patterns (Gen-AI, RAG, MCP, Agentic workflows etc.), tooling, process & governance in collaboration ...

GenAI, LLMs, OpenAI, Azure OpenAI, Agentic AI, RAG Pipelines * LangSmith, Promptfoo, LangFuse, Arize, Phoenix * Python, PowerShell, REST APIs, Webhooks, Automation * Microsoft Azure, SSO, RBAC ...

New

Senior Cloud Engineer AI

Chicago, IL · On-site

$81K - $151K/yr

Azure Machine Learning, Azure OpenAI, Azure AI Foundry • Experience building MLOps platforms and automated ML pipelines • Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG ...

AI Developer

Mettawa, IL · On-site

$80/hr

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 ...

Senior Cloud Engineer AI

Chicago, IL · On-site

$81K - $151K/yr

Azure Machine Learning, Azure OpenAI, Azure AI Foundry • Experience building MLOps platforms and automated ML pipelines • Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG ...

Azure Machine Learning, Azure OpenAI, Azure AI Foundry Experience building MLOps platforms and automated ML pipelines Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval ...

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

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 ...

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Showing results 1-20

Ai Rag information

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Illinois? For Ai Rag jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Illinois look for? The top searched job categories for Ai Rag jobs in Illinois are:
What cities in Illinois are hiring for Ai Rag jobs? Cities in Illinois with the most Ai Rag job openings:

Embedded AI Architect (W2 Only)

Sovereign Technologies

Peoria, IL • On-site

$169K/yr

Other

Posted 8 days ago


Job description

Job Title: Architect / Technical Lead – Embedded AI Systems (In-Cab AI Assistant)Location: Peoria, IL (Onsite)Experience: 8+ YearsMust-Have Skills
  • System Architecture & Technical Leadership
  • Embedded Linux
  • C/C++ and Python
  • Embedded/Edge Computing Systems
  • Hardware & Software Integration
  • CAN, J1939, CDL or similar machine communication protocols
  • AI/RAG (Grounded AI Assistant) knowledge
  • OTA Updates, Diagnostics, Logging & Telemetry
  • NVIDIA Orin/Jetson (Preferred)
  • Voice Systems (ASR/TTS)
  • Industrial/Automotive/Heavy Equipment domain
Job Summary

We are looking for an experienced Architect / Technical Lead to lead the end-to-end architecture of an AI-powered In-Cab Assistant platform for heavy equipment. The ideal candidate will have strong expertise in embedded Linux, system architecture, AI-enabled edge devices, hardware/software integration, and connected embedded systems. This role involves defining technical architecture, leading cross-functional engineering teams, ensuring safety and compliance, and driving integration of AI, voice, display, and machine interfaces.

Required Skills
  • Bachelor''''s degree in Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, or related field.
  • 8+ years of experience in embedded software, systems engineering, or technical architecture.
  • Strong experience with Embedded Linux and system-level software architecture.
  • Proficiency in C/C++ and Python.
  • Experience with embedded/edge AI platforms.
  • Experience integrating compute, display, audio, and hardware components.
  • Knowledge of CAN/J1939/CDL or similar industrial communication protocols.
  • Experience with OTA updates, diagnostics, telemetry, logging, and device management.
  • Familiarity with AI/RAG (Grounded AI Assistant) systems.
  • Strong documentation, communication, and technical leadership skills.
Preferred Skills
  • NVIDIA Orin/Jetson platform experience.
  • Voice technologies (ASR, TTS).
  • HMI development for industrial or automotive systems.
  • Heavy equipment, automotive, robotics, or Industrial IoT experience.
  • GPU programming.
  • Cybersecurity architecture for connected embedded systems.
  • Aftermarket or retrofit product development.
  • Experience grounding AI using manuals, service documents, or fault data.