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Retrieval Augmented Generation Rag Jobs in Illinois

AI Lead

Chicago, IL · On-site

$144K - $177K/yr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

AI Architect

Westmont, IL · On-site

$63.50 - $82.75/hr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure ...

... AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development ...

The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, vector databases, and cloud-native AI ...

Lead AI Platform Engineer

Chicago, IL · On-site

$105K - $139K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

AI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Retrieval-Augmented Generation (RAG) * AI Agents / Agentic AI * LangChain / LangGraph / Semantic Kernel / LlamaIndex * Python * REST APIs * Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB)

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responsesa * Designed and deployed chatbot solutions across web and mobile platforms * Cloud Architecture: * Strong ...

Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation. * Develop ...

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$144K - $177K/yr

Full-time

Re-posted 16 days ago


Job description

Job Description- 

We are seeking a skilled and experienced AI Lead with a strong background in AI development, Azure services, and OpenAI technologies. The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role will lead the design, development, and optimization of AI-powered chatbots and solutions for enterprise environments.

Years of experience :- 8 + Years 

Roles and Responsiblities :- 

·Lead the design and deployment of RAG-based AI chatbots leveraging Azure OpenAI, Azure Cognitive Search, and vector databases.

·Architect and develop APIs using Python (FastAPI), integrating OpenAI, Azure AI Services, and external systems.

·Deliver scalable AI applications using Azure Functions, Azure Kubernetes Services (AKS), and Cognitive Services.

·Create rapid prototypes and Proof-of-Concepts (POCs) with full technical documentation.

·Continuously monitor and optimize AI workloads for performance, scalability, and cost-efficiency.

·Collaborate with cross-functional teams to integrate AI components into enterprise applications.

·Provide technical leadership, mentorship, and code reviews within the AI development team.

Qualifications & Skills:- 

·8–10 years of overall software development experience with 2–3 years working on OpenAI and Retrieval-Augmented Generation (RAG) architectures.

·Proficiency in Salesforce and Einstein

·Proficiency in Python and FastAPI (mandatory); C# is a plus.

·Extensive hands-on experience with Azure OpenAI, Azure Cognitive Search, Azure Bot Services, and Azure Machine Learning.

·Knowledge of vector databases like Pinecone, FAISS, or Weaviate.

·Experience with Azure SQL, CosmosDB, and scalable backend architecture.

·Familiarity with LangChain, LLamaIndex, and Microsoft Semantic Kernel (preferred).

·Solid grasp of DevOps practices using Azure DevOps, Docker, and Kubernetes.

·Strong understanding of secure API integration (OAuth, JWT).

·Experience with Salesforce and Agentforce integrations.

Demonstrated ability to translate business needs into technical AI solutions and communicate clearly with stakeholders.