Retrieval Augmented Generation Rag Jobs in Illinois

Develop end-to-end solutions leveraging modern AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), APIs, orchestration frameworks, and AI-assisted automation.

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. * Strong troubleshooting skills ...

Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas. * Develop prompt ...

Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. * Strong troubleshooting skills ...

Implement agent architectures including tool use, multi-step workflows, and retrieval-augmented generation (RAG) patterns * Integrate AI agents with enterprise systems, APIs, and data sources

Modern techniques such as fine-tuning, parameter-efficient training, in-context learning, contrastive learning, retrieval-augmented generation (RAG), and multi-agent systems for enabling complex ...

Build retrieval-augmented generation (RAG) pipelines and LLM applications * Mentor junior engineers, scientists, and analysts By actively developing relationships with the research community, the AI ...

RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...

Implement Retrieval-Augmented Generation (RAG) workflows to improve response accuracy and reduce unnecessary LLM calls * Integrate AI and LLM tools (e.g., OpenAI, LangChain, Hugging Face) into real ...

... • o Retrieval-Augmented Generation (RAG) patterns • o Databricks Genie and conversational data interfaces • o Secure and scalable LLM integration into applications • Collaborate with ...

Architect and develop Retrieval-Augmented Generation (RAG) pipelines and build comprehensive EVALs frameworks to measure and ensure model performance and accuracy. API & Integration Architecture:

Retrieval-Augmented Generation (RAG) * Agentic AI Frameworks * Prompt Engineering * Vector Databases * Fine-tuning and Model Optimization * Design multi-agent AI systems and AI copilots. Cloud & Data ...

Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant). * Collaborate with designers and product managers to ...

... AI and Retrieval-Augmented Generation (RAG) solutions, and enable informed decision-making across the organization. UL Standards & Engagement: AtUL Standards & Engagement(ULSE),weexpand the ...

Create, test, and optimize prompt engineering frameworks, embeddings, and retrieval-augmented generation (RAG) architectures. * Integrate LLMs with enterprise data sources via APIs, connectors, and ...

Build and operationalize retrieval-augmented generation (RAG) systems grounded in structured commerce knowledge, product taxonomies, business rules, and policy constraints. Data & Orchestration ...

Familiarity with RAG (Retrieval-Augmented Generation) pipelines and integration into enterprise systems * Understanding of Agentic AI architectures (e.g., LangChain, CrewAI, AutoGPT) for orchestrated ...

Familiarity with retrieval-augmented generation (RAG), agentic workflows, and engineering knowledge systems Join Hyve Solutions * Help define how AI transforms infrastructure engineering and ...

Experience deploying chatbots, retrieval-augmented generation (RAG), or embedding-based search. * Demonstrated experience in applying AI complex domains with large numbers of entities and ...