Entrylevel Retrieval Augmented Generation Jobs in Tennessee

Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt Engineering

Develops and implements a Retrieval-Augmented Generation (RAG) framework utilizing Large Language Models (LLMs) to synthesize information from biomedical literature and generate novel, testable ...

Develops and implements a Retrieval-Augmented Generation (RAG) framework utilizing Large Language Models (LLMs) to synthesize information from biomedical literature and generate novel, testable ...

Retrieval Augmented Generation (RAG)). • Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred). • Knowledge of vector databases ...

Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...

Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...

Build and improve LLM-powered analytics features - agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use over structured (SQL/Snowflake) and unstructured ...

Understanding of how documentation supports AI tools, search, and retrieval-augmented generation (RAG). * Experience structuring content for discoverability, reuse, and automated interpretation.

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...

Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...

Experience assessing AI, machine learning, and LLM deployment patterns, including training, retrieval-augmented generation, fine-tuning, tool use, data dependencies, and integration patterns, and ...

Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines * Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use ...

Design, develop, and deploy enterprise AI solutions from concept through production, leveraging large language models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG)

Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration * Advising clients on Generative AI ...

Design, develop, and deploy enterprise AI solutions from concept through production, leveraging large language models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG)

Implement AI/ML data pipelines and retrieval-augmented generation (RAG) systems for mission-critical workflows. * Ensure all deliverables meet DOE compliance, security standards, and operational ...

Implement AI/ML data pipelines and retrieval-augmented generation (RAG) systems for mission-critical workflows. * Ensure all deliverables meet DOE compliance, security standards, and operational ...

Implement AI/ML data pipelines and retrieval-augmented generation (RAG) systems for mission-critical workflows. * Ensure all deliverables meet DOE compliance, security standards, and operational ...