Assistant Retrieval Augmented Generation Jobs in Tennessee

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

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

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

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

Contribute to the development and maintenance of LLM gateways, retrieval-augmented generation ... Support the implementation of security, compliance, and governance controls for AI systems * Assist ...

Retrieval-Augmented Generation (RAG) pipelines * LLM model selection, configuration, and prompt tooling * Model fine-tuning and customization pipelines * Architect and govern AI agents capable of ...

Build and optimize prompts, AI workflows, and Retrieval-Augmented Generation (RAG) applications ... Build proof-of-concepts and assist with production deployment of AI capabilities. * Test ...

Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced ...

Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques ... delivery. Assist with establishing enterprise standards and governance for Agentic AI ...

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

Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...

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

... RAG (Retrieval-Augmented Generation) pipelines with vector databases • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex • Writing and ...

Structure documentation so it can be effectively consumed by AI assistants (e.g., Copilot, internal ... Understanding of how documentation supports AI tools, search, and retrieval-augmented generation ...

... copilots, assistants, and AI workflows that query, interpret, and act on structured and ... Retrieval-Augmented Generation (RAG) patterns using enterprise data sources. • Design prompt ...

Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

... Retrieval-Augmented Generation (RAG) architectures Enterprise data environments including APIs, integrations, and data pipelines Candidate Requirements: 1018 years of experience in consulting ...