Assistant Retrieval Augmented Generation Jobs (NOW HIRING)

AI , NICE CXone , Voice Bots, Agent Assist, Retrieval-Augmented Generation (RAG), and multi-model AI architectures is highly desirable. The role requires deep technical leadership in designing ...

The role focuses on building scalable AI solutions using Python, developing Retrieval-Augmented Generation (RAG) systems, and integrating AI models within cloud environments. The engineer will work ...

Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You ...

Build and optimize Retrieval-Augmented Generation (RAG) solutions. Develop AI Agents and conversational AI systems. Integrate OpenAI, Azure OpenAI, Claude, Gemini, or Llama models into enterprise ...

Design and implement Retrieval-Augmented Generation (RAG) architectures utilizing vector databases and semantic search techniques. * Build agentic AI applications leveraging multi-agent frameworks ...

Design and implement Retrieval-Augmented Generation (RAG) architectures utilizing vector databases and semantic search techniques. Build agentic AI applications leveraging multi-agent frameworks ...

Implement LLM-based workflows, including prompt engineering, evaluation, and retrieval-augmented generation (RAG). Build and maintain knowledge retrieval pipelines to support IVR use cases such as ...

... Retrieval-Augmented Generation (RAG), and Agentic AI models. Key Responsibilities • Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG ...

The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a ...

Implement LLM-based workflows, including prompt engineering, evaluation, and retrieval-augmented generation (RAG). * Build and maintain knowledge retrieval pipelines to support IVR use cases such as ...

Implement RAG (Retrieval Augmented Generation) patterns using requirements, user stories, APIs, configurations, and test repositories, leverage embeddings and vector search where applicable. Apply ...

AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

Familiarity with large language models and retrieval-augmented generation techniques, including experience with LLM APIs and retrieval systems. Experience with data retrieval and indexing: Experience ...

GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

The role focuses on building Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs) into enterprise applications, and ensuring performance, security, and cost ...

Summary: • Lead the design and implementation of advanced AI/ML and data science solutions. • Drive the development of innovative Agentic AI systems and Retrieval Augmented Generation (RAG ...

Summary: • Lead the design and implementation of advanced AI/ML and data science solutions. • Drive the development of innovative Agentic AI systems and Retrieval Augmented Generation (RAG ...