Retrieval Augmented Generation Rag Jobs in Pennsylvania

The role focuses on building Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs) into enterprise applications, and ensuring performance, security, and cost ...

This role focuses on building Generative AI applications leveraging LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AWS Bedrock services to support intelligent, scalable business ...

This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...

This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...

This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...

This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. . Build and optimize semantic retrieval pipelines, vector search ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. . Build and optimize semantic retrieval pipelines, vector search ...

This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...

This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...

Knowledge of LLMs, AI agents, and Retrieval-Augmented Generation (RAG) frameworks. Responsibilities: * Design, develop, and maintain scalable microservices using Core Java and Spring Boot. * Build ...

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. * Comfortable working with LLM APIs and integrating them into applications. * A solid understanding of machine ...

Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. * Comfortable working with LLM APIs and integrating them into applications. * A solid understanding of machine ...

Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases. * Comfortable working with LLM APIs and integrating them into applications. * A solid understanding of machine ...

Deep understanding of: o Large Language Models (LLMs) o Retrieval Augmented Generation (RAG) o Agentic AI o Prompt Engineering o AI Evaluation Frameworks o ModelOps / LLMOps o AI Governance

Required : • 5+ years of LLM fine-tuning using LoRA or QLoRA • 5+ years of Retrieval-Augmented Generation (RAG) architecture development • 5+ years of MLflow for MLOps and experiment lifecycle ...