Retrieval Augmented Generation Rag Jobs (NOW HIRING)

We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture . The ideal candidate will lead the architecture ...

We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture . The ideal candidate will lead the architecture ...

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:

Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities that solve mission problems. Required Skills: * Production software ...

Hands-on experience building Retrieval-Augmented Generation (RAG) applications * Experience integrating LLMs such as GPT, Claude, Llama, Gemini, or Mistral * Experience with LangChain, LangGraph ...

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 ...

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 ...

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

You will design, develop, and deploy intelligent systems that leverage LLMs, Retrieval-Augmented Generation (RAG), MLOps pipelines, and data visualization to optimize engineering productivity, test ...

Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. * Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.

... Retrieval-Augmented Generation (RAG), data connectivity, and enterprise-scale integrations. Responsibilities of the Forward Deployed Engineer: · Partner directly with customers to understand ...

Hands-on experience building Retrieval-Augmented Generation (RAG) systems * Experience with Spring AI, LangChain4j, or similar Java AI frameworks * Experience integrating OpenAI, Azure OpenAI, Claude ...

Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines. * Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage ...

Implement Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) * Deliver Gen AI use cases in live production environments Required Skills * Python programming ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs. * Manage and optimize vector databases for efficient storage and retrieval of data ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

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 ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

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 ...