Entrylevel Retrieval Augmented Generation Jobs (NOW HIRING)

... 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 ...

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

This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows, traditional machine learning, natural language processing, graph analytics, and entity resolution.

You will work with transformer models, retrieval-augmented generation (RAG), and advanced document processing techniques to enable search, question answering, summarization, and information ...

This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows, traditional machine learning, natural language processing, graph analytics, and entity resolution.

This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows, traditional machine learning, natural language processing, graph analytics, and entity resolution.

Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt Engineering

Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...

Design and deliver LLM-powered applications, including agentic multi-step workflows, Retrieval-Augmented Generation (RAG) systems, and structured prompt pipelines. Productionize AI: Transform AI ...

Develop Retrieval-Augmented Generation (RAG) solutions using vector databases. Integrate LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications. Fine-tune, evaluate, and optimize ...

Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and cloud-native technologies**. If you're curious, eager to learn, enjoy solving complex problems, and ...

Help develop retrieval-augmented generation (RAG) pipelines and agent-based workflows. * Build and consume REST APIs and cloud-native services. * Write clean, maintainable, well-tested code using AI ...

Strongunderstanding and practical experience with Retrieval-Augmented Generation(RAG). * Proficiencyin programming languages such as Python. * Knowledgeof AI model deployment and API integration.

Help develop retrieval-augmented generation (RAG) pipelines and agent-based workflows. * Build and consume REST APIs and cloud-native services. * Write clean, maintainable, well-tested code using AI ...

Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies. * Develop and maintain backend services and APIs using Python and JavaScript. * Support ...

Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies. * Develop and maintain backend services and APIs using Python and JavaScript. * Support ...

Help develop retrieval-augmented generation (RAG) pipelines and agent-based workflows. * Build and consume REST APIs and cloud-native services. * Write clean, maintainable, well-tested code using AI ...

Help develop retrieval-augmented generation (RAG) pipelines and agent-based workflows. * Build and consume REST APIs and cloud-native services. * Write clean, maintainable, well-tested code using AI ...

Build Retrieval-Augmented Generation (RAG) solutions using vector databases. Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker Develop autonomous AI agents using: LangChain ...