Assistant Retrieval Augmented Generation Jobs in Georgia

Knowledge of Retrieval-Augmented Generation (RAG) architectures. * Experience evaluating AI systems using human and automated scoring methods. * Familiarity with vector databases and semantic search.

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 ...

Architect AI/ML solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain (Lang). * Integrate and manage MCP Server for scalable AI infrastructure and ...

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 ...

This role will focus on building scalable, production-grade AI solutions starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

... Retrieval-Augmented Generation (RAG) and knowledge-grounded AI solutions • Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services • Build agent memory, tool ...

Contribute to the development and optimization of retrieval-augmented generation (RAG) systems using structured and unstructured enterprise data. • Translate Requirements: Collaborate with cross ...

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 ...

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 ...

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

Foundational background in Python, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Agentic AI architectures (ability to speak fluently on advanced technical topics without ...

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 ...

Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines that feed highly ... Proven experience or strong familiarity working alongside AI coding assistants to enhance ...

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software ...

Experience/competency with emerging Agent building architecture such as prompt engineering, RAG (Retrieval-Augmented Generation), graphs, agentic orchestration, protocols such as MCP and A2A, AI ...

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

This role will focus on building scalable, production-grade AI solutions--starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal ...

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software ...

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 ...

... assistants (GitHub Copilot, Cursor) to automate boilerplate transformations, you will design systems that feed directly into Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG ...