Ai Rag Jobs in Geneva, IL (NOW HIRING)

... 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 ...

Design and build AI solutions that accelerate data migration from legacy systems to the cloud ... Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures ...

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 ...

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 ...

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 ...

Design, build, and pilot applied AI solutions, including generative AI assistants, RAG-based chat agents, and intelligent automation. * Provide hands-on leadership in the design, development ...

Python, SQL, AWS, LLM APIs, RAG, tool calling, production software engineering Preferred: Bedrock ... Hands on experience with AWS AI and cloud services, including Amazon Bedrock, AgentCore, SageMaker ...

Design, build, and pilot applied AI solutions, including generative AI assistants, RAG-based chat agents, and intelligent automation. * Provide hands-on leadership in the design, development ...

Python, SQL, AWS, LLM APIs, RAG, tool calling, production software engineering Preferred: Bedrock ... Hands on experience with AWS AI and cloud services, including Amazon Bedrock, AgentCore, SageMaker ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

... RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data ...

Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases ... Expose AI/LLM functionality written in Python using Java services, leverage multi-threading ...

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