Retrieval Augmented Generation Rag Jobs in Atlanta, GA

Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information. Integrate Google Cloud Functions for seamless ...

Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma). * Strong problem-solving and analytical skills. * Excellent ...

Retrieval-Augmented Generation (RAG): Implementing vector databases (e.g., Pinecone, FAISS) to allow models to access and reason. * Prompt Engineering: Refining and optimizing high-quality prompts to ...

Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our ...

... Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques. • Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere ...

Prompt Engineering & RAG Implementation Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs. * Stakeholder Collaboration ...

Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines that feed highly relevant, real-time enterprise context to foundation models. * Implement and manage stateful memory ...

Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems. * Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and ...

You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...

You will design prompts and Retrieval-Augmented Generation (RAG) workflows, package models as APIs, and support cloud deployment while ensuring outputs are evaluated, monitored, and aligned to ...

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 ...

Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations. APIs and Integrations: The ability to ...

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

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 ...

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

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

... retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor

... retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor

... and Retrieval-Augmented Generation (RAG) architectures. Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake ...