Retrieval Augmented Generation Rag Jobs in California

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:

The ideal candidate will have hands-on experience building scalable full-stack solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases ...

We are now hiring a Sr. AI Engineer - LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world knowledge ...

We are now hiring a Sr. AI Engineer - LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world knowledge ...

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

THE ROLE Join our agile team to shape and deliver the industry's premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature ...

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 ...

* Join our agile team to shape and deliver the industry's premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature development at ...

You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...

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

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 ...

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 ...

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 ...

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

Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques * Experience working with cloud platforms such as Azure, AWS, or similar ecosystems * Familiarity with data ...

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

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 ...