Assistant Retrieval Augmented Generation Jobs in Georgia

Knowledge of RAG (Retrieval-Augmented Generation) architectures. * Experience integrating Qdrant with LLM frameworks such as LangChain or LlamaIndex. * Familiarity with REST APIs and microservices.

AI Agents Multi-Agent Systems AI / Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Workflow Automation & Orchestration Solutions Warm Regards, Upender. K Sr. Talent Acquisition ...

Build and deploy LLM-powered applications, AI agents, retrieval-augmented generation workflows, and enterprise AI integrations. * Evaluate model options, agent patterns, grounding strategies ...

Build and deploy LLM-powered applications, AI agents, retrieval-augmented generation workflows, and enterprise AI integrations. * Evaluate model options, agent patterns, grounding strategies ...

... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...

Experience with Generative AI, LLMs, Retrieval-Augmented Generation (RAG), AI Agents, MCP, Prompt Engineering, and Agent Orchestration. Experience integrating Amazon Bedrock, OpenAI APIs, or similar ...

... retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning. • Proficient in Python and comfortable working with async code, data ...

Implement Retrieval Augmented Generation (RAG) solutions to enhance AI response quality and accuracy. * Design and optimize context assembly and retrieval mechanisms for Large Language Models (LLMs)

... testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation.

Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities. * Develop and optimize data pipelines, feature ...

Retrieval-Augmented Generation (RAG) * Vector Databases (Pinecone, FAISS, ChromaDB, Milvus) * LangChain or LlamaIndex * SQL and NoSQL databases * REST APIs and FastAPI/Flask * Git and CI/CD * AWS ...

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. Design AI orchestration workflows using frameworks such as LangChain ...

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. * Design AI orchestration workflows using frameworks such as LangChain ...

... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...

AI/ML & Generative AI(Primary Skill set) NLP and Transformer Architectures Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Frameworks ...

Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings ...

Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. * Fine-tune or adapt foundation models where appropriate using parameter ...

Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings ...

Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources. * Fine-tune or adapt foundation models where appropriate using parameter ...

Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...