Internship Retrieval Augmented Generation Jobs in Raleigh, NC

You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...

You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...

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

Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...

... Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies. • Engineer memory and ...

Experience designing or implementing generative AI solutions using retrieval-augmented generation, vector databases, GraphRAG or knowledge-graph-enhanced retrieval, model orchestration, prompt and ...

Experience designing or implementing generative AI solutions using retrieval-augmented generation, vector databases, GraphRAG or knowledge-graph-enhanced retrieval, model orchestration, prompt and ...

... retrieval-augmented generation, and emerging AI applications. * Evaluate whether proposed AI use cases have sufficiently clear business purpose, accountable ownership, human oversight provisions ...

... retrieval-augmented generation, and emerging AI applications. * Evaluate whether proposed AI use cases have sufficiently clear business purpose, accountable ownership, human oversight provisions ...

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

You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...

Experience with Large Language Models (LLM) or Retrieval-Augmented Generation (RAG) technologies * Knowledge of containerization tools such as Docker, Kubernetes, and Helm * Java programming ...

Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...

Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns. * Implement data quality, validation, and lineage ...

... retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization. * Establish and champion DevSecOps practices for platform ...

Experience with agentic architectures (tool calling, retrieval-augmented generation, workflow orchestration, multi-agent patterns). * Familiarity with LLM evaluation (quality metrics, red-teaming ...

LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows. * Technical Rigor: the ability ...

Working knowledge of generative AI, large language models, copilots, agents, prompt/agent design, retrieval augmented generation (RAG), enterprise search, document intelligence, model evaluation, 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 ...

Partner with AI engineers and analysts to enable AI-ready data infrastructure, including support for retrieval-augmented generation, embeddings, and unstructured data ingestion. * Establish platform ...