Retrieval Augmented Generation Jobs (NOW HIRING)

Summary: • Develop AI-enabled analytics tools and applications using Python, SQL, and Elasticsearch. • Combine data science, machine learning, LLMs, and retrieval-augmented generation (RAG) to ...

Experience architecting and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding ...

Summary: • Develop AI-enabled analytics tools and applications using Python, SQL, and Elasticsearch. • Combine data science, machine learning, LLMs, and retrieval-augmented generation (RAG) to ...

Build intelligent solutions such as chatbots, document search, semantic search, Retrieval-Augmented Generation (RAG), and workflow automation. * Collaborate with business analysts, architects ...

This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations. Requirement ...

THE ROLE Join our agile team to shape and deliver the industry's premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature ...

Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and ...

Agentic AI * RAG (Retrieval-Augmented Generation) Architecture * AI Agents / Multi-Agent Systems * Python * FastAPI * Vector Databases * LLM Integration * AI Platform Engineering * Production AI ...

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 ...

The ideal candidate will combine strong software engineering skills with deep expertise in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AWS cloud services to build scalable ...

Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model ...

Job Summary : Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into ...

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:

Design, development and optimization of complete Retrieval-Augmented Generation pipelines * Implementation of document ingestion and data-processing workflows * Development of suitable document ...

The Senior AI/ML Data Engineer will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model ...

Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model ...

Retrieval-Augmented Generation (RAG) architectures * Vector database experience * Semiconductor or manufacturing domain knowledge

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model ...