Retrieval Augmented Generation Jobs in California

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 ...

Working under the guidance of senior engineers, the role assists with developing and maintaining enterprise AI models, retrieval-augmented generation (RAG) systems, and agentic workflows. The AI ...

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 ...

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 ...

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 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 ...

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 ...

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

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 ...

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 ...

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 ...