Summer Retrieval Augmented Generation Jobs in California

Implement Retrieval-Augmented Generation (RAG) architectures with Oracle Database. * Create and manage vector embeddings and vector indexes. * Integrate Oracle Database with LLMs and Generative AI ...

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

Implement Retrieval-Augmented Generation (RAG) pipelines to power intelligent search and Q&A experiences, integrating vector search with LLM-based generation. Design and deploy Claude-based agents ...

... Retrieval-Augmented Generation (RAG) pipelines to power intelligent search and Q&A experiences, integrating vector search with LLM-based generation. • Design and deploy Claude-based agents and ...

Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced information retrieval and generation. * Design and implement efficient vector-based search solutions for semantic ...

Experience architecting and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding ...

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:

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

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 ...

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

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

Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow ...

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

... frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow orchestration. • Build secure, reliable ...