Retrieval Augmented Generation Rag Jobs in Fairburn, GA

Preferred Qualifications * 3+ years of Experience with IoT, device telemetry, or distributed sensor data systems. * 3+ years of Background in LLM tuning, retrieval-augmented generation (RAG), and ...

Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc. * Strong background ...

Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration. * Mentor AI engineers through technical coaching ...

Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG) . * Model Deployment & MLOps * Use Vertex AI Pipelines , Model Registry , and Prediction Services to deploy ...

This role will focus on building production-grade AI solutions , including Retrieval-Augmented Generation (RAG) , multi-agent orchestration, NLP pipelines, transcription solutions, model deployment ...

Responsibilities : • Build task-oriented and conversational agents using LLMs (OpenAI GPT, Claude, Llama) and frameworks • Implement retrieval-augmented generation (RAG) and tool-use for ...

Design, build, and deploy LLM powered applications using architectures such as Retrieval Augmented Generation (RAG), tool augmented agents, and multi agent workflows * Develop AI copilots and natural ...

This role will focus on building production-grade AI solutions, including Retrieval-Augmented Generation (RAG), multi-agent orchestration, NLP pipelines, transcription solutions, model deployment ...

This role will focus on building production-grade AI solutions, including Retrieval-Augmented Generation (RAG), multi-agent orchestration, NLP pipelines, transcription solutions, model deployment ...

Hands-on experience with generative AI, NLP, and RAG (Retrieval-Augmented Generation) architectures. * Proven experience designing and implementing IR/RAG systems with Vector DBs and Knowledge Graphs.

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

Develop Retrieval-Augmented Generation (RAG) pipelines and enterprise knowledge solutions. * Integrate AI agents with enterprise applications, APIs, and databases. * Optimize prompts, grounding ...

Hands-on experience with generative AI, NLP, and RAG (Retrieval-Augmented Generation) architectures. * Proven experience designing and implementing IR/RAG systems with Vector DBs and Knowledge Graphs.

Experienced in developing and optimizing LLM applications, including Retrieval-Augmented Generation (RAG) and GPT-based solutions, with strong knowledge of deployment patterns, prompt engineering ...

Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP). * Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and ...

You will lead the design and implementation of scalable ML and generative AI solutions, including AI agents, retrieval-augmented generation (RAG) systems, and evaluation frameworks that ensure ...

Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques within UiPath ecosystems. Ensure responsible AI practices including transparency, auditability ...

Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration. * Experience building ...

You will lead the design and implementation of scalable ML and generative AI solutions, including AI agents, retrieval-augmented generation (RAG) systems, and evaluation frameworks that ensure ...

You will lead the design and implementation of scalable ML and generative AI solutions, including AI agents, retrieval-augmented generation ( RAG ) systems, and evaluation frameworks that ensure ...