Entry Level Retrieval Augmented Generation Jobs (NOW HIRING)

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 ...

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 ...

Have prior knowledge & hands on Experience with - Building production-ready AI services and APIs using Python LLM integration Prompt engineering frameworks RAG (Retrieval-Augmented Generation ...

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

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

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 ...

This includes integrating OpenAI/Anthropic APIs, implementing Retrieval-Augmented Generation (RAG) architectures, and utilizing frameworks like LangChain or Semantic Kernel within Java environments.

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

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

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.

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 ...

You will design, implement, and ship LLM-powered agent tools, MCP integrations, and retrieval-augmented generation (RAG) systems that are already in production use and you will do it using AI ...

... Retrieval-Augmented Generation (RAG) frameworks to enhance knowledge retrieval and response accuracy. • Manage and optimize vector databases (e.g., Pinecone, Weaviate) for semantic search and ...

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

You will design, implement, and ship LLM-powered agent tools, MCP integrations, and retrieval-augmented generation (RAG) systems that are already in production use and you will do it using AI ...

RAG (Retrieval Augmented Generation), Function Calling/Tools, Langchain, Vector databases • Clear articulation of contributions: Candidates should be able to explain their involvement and impact in ...

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