Ai Rag Jobs in Illinois (NOW HIRING)

Build RAG pipelines, embedding workflows, vector search, and agentic AI systems . * Develop and optimize LLM orchestration and prompt strategies. * Deploy and serve models using tools such as FastAPI ...

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 ...

Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG). * Experience with AI frameworks such as LangChain or LangGraph is a plus. * Familiarity with vector databases like Pinecone ...

RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic Kernel/OpenAI Agents SDK or similar; CI/CD; AIOps/MLOps; LLM/RAG/agent evaluation; AI observability ...

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

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 ...

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

Experience designing AI-enabled applications leveraging LLMs, RAG, or agent-based solutions. * Strong communication, consulting, and stakeholder management skills. Preferred Qualifications

RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic Kernel/OpenAI Agents SDK or similar; CI/CD; AIOps/MLOps; LLM/RAG/agent evaluation; AI observability ...

... RAG, embeddings, prompt engineering, and agents • Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines • Experience deploying AI solutions on cloud platforms (GCP ...

Must Have Technical/Functional Skills • Python engineering • Production AI/ML coding • Databricks • MLflow • Azure AI Foundry • RAG architecture • LLM application architecture • ...

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 ...

RAG and Agentic AI systems; Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and embeddings; LangChain/LlamaIndex or similar orchestration; CI/CD ...

GCP Gemini AI Developer (3-5 Years Experience) Location: Remote / Hybrid - Chicago preferred ... Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows ...

From early-stage use case discovery through production deployment and monitoring, you'll work across the full AI lifecycle-leveraging large language models (LLMs), retrieval-augmented generation (RAG ...

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 ...

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

... AI, RAG Pipelines, Python, Amplitude, and Jellyfish to drive enterprise AI tooling strategy, governance, implementation, platform adoption, and engineering productivity across a regulated environment.

... RAG pipelines leveraging vector search, embeddings, semantic ranking, and enterprise data sources (structured unstructured). • Develop prompt strategies, memory frameworks, and metadata tagging to ...

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...