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Ai Rag Jobs in Schaumburg, IL (NOW HIRING)

Northern Trust

Principal, AI Engineer

Chicago, IL · On-site

... 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 ...

Stryker Corporation

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

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

Koitecc Solutions

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

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

CEDENT

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 ...

Northern Trust

Principal, AI Engineer

Chicago, IL

... 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 ...

Northern Trust Corp

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 ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Python | GenAI | LLM | OpenAI | Azure OpenAI | Anthropic | AWS Bedrock | LangChain | LangGraph | LlamaIndex | Agentic AI | RAG | Vector Search | Embeddings | Pinecone | pgvector | Weaviate ...

Northern Trust

Principal, AI Engineer

Chicago, IL · On-site

... 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 ...

CitiusTech

AI Analytics Lead

Chicago, IL · On-site

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

Bank of Montreal

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 ...

Tror AI for everyone

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 ...

BMO Capital Markets

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 (retrieval ...

Tror AI for everyone

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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All JobsAi Rag JobsAi Rag Jobs in Schaumburg, IL

Ai Rag information

See Schaumburg, IL salary details

$31.4K

$57.2K

$82K

How much do ai rag jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai rag in Schaumburg, IL is $57,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $63,800.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Ai Rag jobs in Schaumburg, IL?

For Ai Rag jobs in Schaumburg, IL, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Schaumburg, IL look for?

The top searched job categories for Ai Rag jobs in Schaumburg, IL are:

What cities near Schaumburg, IL are hiring for Ai Rag jobs?

Cities near Schaumburg, IL with the most Ai Rag job openings:

Ai Rag jobs near you

AI Automation Developer

Everest Technologies

Chicago, IL • On-site

Other

Posted 2 days ago

New

Job description

We are seeking a hands-on Senior Full-Stack AI Engineer to design, build, and deploy production-grade AI-native applications. In this role, you will lead the integration of Large Language Models (LLMs), AI agent frameworks, and vector search systems into scalable web applications, bridging the gap between cutting-edge Generative AI features and robust full-stack software architecture.

Key Responsibilities

  • AI Systems Architecture & Engineering: Design and implement agentic AI workflows, LLM orchestration layers, and RAG (Retrieval-Augmented Generation) pipelines using frameworks such as LangChain, LlamaIndex, or AutoGen.

  • Backend Development: Build high-performance, asynchronous REST/gRPC APIs and microservices using Python (FastAPI/Flask) or Node.js to interface with vector databases (Pinecone, Qdrant, Chroma) and relational/NoSQL storage.

  • Frontend Integration: Implement modern UI components in React, Next.js, or Angular to deliver real-time streaming AI interfaces, interactive dashboards, and conversational workflows.

  • MLOps & Evaluation: Implement continuous LLM performance monitoring, prompt management/versioning, latency optimization, cost management, and automated evaluation pipelines for model outputs.

  • Cloud & DevOps: Deploy scalable, containerized microservices on AWS/Azure/Google Cloud Platform using Docker and Kubernetes, maintaining CI/CD pipelines and observability tools.

Required Skills & Qualifications

  • Experience: 5+ years in full-stack software engineering, with at least 2+ years dedicated to building and deploying production-level AI/GenAI applications.

  • AI & LLM Stack: Strong proficiency with OpenAI APIs, Anthropic Claude, open-source models (Hugging Face), vector databases, and agentic frameworks.

  • Core Tech Stack: Python (FastAPI), JavaScript/TypeScript (React, Next.js, Node.js), and database systems (PostgreSQL, MongoDB, Redis).

  • Software Engineering: Solid understanding of microservices, event-driven architectures, API security, and asynchronous programming.

  • Cloud & CI/CD: Hands-on experience with cloud platforms, preferably Azure, Docker, and modern CI/CD tools.

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