Retrieval Augmented Generation Rag Jobs (NOW HIRING)

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 ...

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 should have hands-on experience designing scalable data platforms while building AI-powered applications using RAG (Retrieval-Augmented Generation), LangChain, LangGraph, LLMs ...

Hands-on experience building RAG (Retrieval-Augmented Generation) solutions * LangChain * LangGraph * OpenAI / Azure OpenAI / Anthropic Claude / Gemini APIs * Prompt Engineering * AI Agents / Multi ...

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

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

We are now hiring a Senior 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 ...

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 ...

Minimum of 3-5 years experience with Retrieval-Augmented Generation (RAG), LLM prompting techniques, and vector-based search * Minimum of 3-5 years experience supporting Agile application development

We are now hiring a Senior 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 ...

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 ...

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:

FastAPI * Retrieval-Augmented Generation (RAG) * Agentic AI / AI Agents / Multi-Agent workflows * AWS Serverless (Lambda, ECS, Step Functions) * REST API development * Authentication (JWT, IAM ...

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 ...

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 ...

Architecting and implementing Retrieval-Augmented Generation (RAG) systems and vector search platforms * Designing LLM-powered knowledge systems for enterprise use cases * Strong hands-on experience ...

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

... Retrieval-Augmented Generation (RAG) applications within Palantir Foundry. In this role, you will help transform large volumes of structured and unstructured data into secure, accurate, and ...

Build Retrieval-Augmented Generation (RAG) pipelines using embeddings, semantic search, vector databases, chunking strategies, reranking, response grounding, and citation mechanisms. * Fine-tune and ...

RAG Pipeline Support * Contribute to the development and testing of retrieval-augmented generation (RAG) systems that ground AI responses in WelbeHealth's proprietary data. Assist with vector ...