Entrylevel Retrieval Augmented Generation Jobs (NOW HIRING)

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 ...

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

Build and improve retrieval-augmented generation (RAG) systems with a Senior AI Engineer * Develop chunking and embedding strategies, retrieval-quality processes, and evaluations * Manage context ...

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:

Responsibilities : • Design and build scalable and production-grade generative AI systems. • Develop, fine-tune, and evaluate LLMs • Integrate LLMs with Retrieval-Augmented Generation (RAG ...

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:

... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. • Familiarity with ...

... 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 ...

AI Agents Multi-Agent Systems AI / Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Workflow Automation & Orchestration Solutions Warm Regards, Upender. K Sr. Talent Acquisition ...

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:

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:

This role focuses on building scalable, production-grade AI systems, leveraging advanced API development, retrieval-augmented generation (RAG), and agentic frameworks. You will work on cutting-edge ...

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI -- from large-language-model (LLM) agents and retrieval-augmented generation ...

The ideal candidate will have strong skills in Python, React.js, Retrieval-Augmented Generation (RAG ), and hands-on experience with LangChain and LangGraph frameworks. You will be responsible for ...

The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Skills: Cobol, SQL, JCL ...

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. • Familiarity with ...

Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"