Internship Retrieval Augmented Generation Jobs in California

Product Manager, Retrieval-Augmented Generation and Embeddings At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited ...

Gen AI Lead - RAG (Retrieval-Augmented Generation) Specialist We are looking for a highly skilled Gen AI Lead specializing in Retrieval-Augmented Generation (RAG) to join our AI team in Pleasanton ...

We are looking for Fall Interns (Flexible start date for a 3 month internship between September ... retrieval augmented generation (RAG), reasoning and action planning, etc. * Experience in planning ...

Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants. * Evaluate emerging AI technologies, frameworks, and infrastructure to ...

Strong technical expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and distributed systems. Demonstrated ability to define long-term technical strategy while ...

... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...

Focuses on implementing retrieval-augmented generation (RAG) pipelines, integrating LLMs with structured/unstructured data sources, and fine-tuning models for specific use cases. Key Skills:

Build and deploy RAG (Retrieval-Augmented Generation) pipelines * Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with ...

This role focuses on building scalable systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows . The ideal candidate will bring deep expertise ...

Build semantic retrieval, embedding, reranking, and retrieval-augmented generation systems, along with models for query understanding, intent prediction, personalization, and ranking. Research and ...

Experience building retrieval-augmented generation, vector search, embedding retrieval, or semantic search systems. Experience working with transformer architectures such as BERT, T5, Llama, Gemma ...

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...

Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...

Implement and optimize Retrieval-Augmented Generation (RAG) pipelines that combine structured and unstructured enterprise data sources. * Partner with AI engineers, platform teams, and product ...

Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and domain-specific search at scale.Implement multi-agent ...

Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...

Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...

Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...