Entry Level 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 ...

... 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"

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.

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

... 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 ...

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

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

Familiarity with retrieval-augmented generation, document processing, information extraction, or text classification * Ability to evaluate AI outputs carefully and design workflows that keep humans ...

... retrieval-augmented generation (RAG), orchestration frameworks, and scalable AI services. You will work closely with business stakeholders and engineering teams to deliver reusable AI capabilities ...

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 ...

Utilize Retrieval Augmented Generation (RAG) techniques to improve data retrieval and decision‑making processes. * MLOps Integration (Plus): * Champion MLOps best practices to streamline the ...

Utilize Retrieval Augmented Generation (RAG) techniques to improve data retrieval and decision‑making processes. * MLOps Integration (Plus): * Champion MLOps best practices to streamline the ...

Utilize Retrieval Augmented Generation (RAG) techniques to improve data retrieval and decision‑making processes. * MLOps Integration (Plus): * Champion MLOps best practices to streamline the ...

Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge. * Apply structured logging, unit/integration tests, error handling, and ...

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 ...

Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge. * Apply structured logging, unit/integration tests, error handling, and ...