Retrieval Augmented Generation Rag Jobs in Pleasanton, CA

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

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software. * Evaluations ...

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval ...

... Retrieval-Augmented Generation (RAG) • Collaborated with AI architects and MLOps teams to ensure Responsible AI, data governance, security, and access controls • Translate complex workflows into ...

... retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical ...

Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines. * Design and implement scalable AI microservices and APIs ...

This role centers on hands-on development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an ...

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

... RAG - Practical experience implementing retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server ...

Demonstrated experience building complex, multi-database Retrieval-Augmented Generation (RAG) pipelines and autonomous multi-agent systems. Preferred Experience * Advanced AI Expertise: Deep ...

Demonstrated experience building complex, multi-database Retrieval-Augmented Generation (RAG) pipelines and autonomous multi-agent systems. Preferred Experience * Advanced AI Expertise: Deep ...

Build solutions utilizing Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and other emerging AI technologies. * Evaluate AI applications ...

Practical experience with prompt engineering, Retrieval-Augmented Generation (RAG) pipelines. Delivery & Agility: Proven capability to prioritize deliverables, architect reusable systems, and ...

Retrieval-Augmented Generation (RAG)* Machine Learning* Statistical Modeling* Experiment Design and A/B Testing* Causal Inference* Predictive Analytics* Python* AI Evaluation and Benchmarking*

Build solutions utilizing Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and other emerging AI technologies. * Evaluate AI applications ...

Retrieval-Augmented Generation (RAG) * Machine Learning * Statistical Modeling * Experiment Design and A/B Testing * Causal Inference * Predictive Analytics * Python * AI Evaluation and Benchmarking

Design, develop, and deploy AI-driven solutions leveraging Retrieval-Augmented Generation (RAG), large language models (LLMs), and vector database technologies. * Build scalable clinical document ...

Retrieval-Augmented Generation (RAG) * Machine Learning * Statistical Modeling * Experiment Design and A/B Testing * Causal Inference * Predictive Analytics * Python * AI Evaluation and Benchmarking