Retrieval Augmented Generation Rag Jobs in Pennsylvania

This role combines full-stack development, intelligent automation, and modern AI technologies such as LLMs and Retrieval-Augmented Generation (RAG) to create scalable, data-driven user experiences.

You will build Python-based solutions around existing AI models, incorporating LLMs, Retrieval-Augmented Generation (RAG), AI agents, tool calling, structured workflows, evaluation, and guardrails

Expertise in designing and implementing Retrieval Augmented Generation (RAG) architectures to improve the accuracy and relevance of AI model outputs by integrating external knowledge sources.

Highly skilled Senior Full-Stack Engineer with strong expertise in Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to design, and build an Agentic Platform for internal ...

Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions. * Experience with AI standards and frameworks such as Model Context Protocol (MCP), Agent2Agent (A2A ...

Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions. * Experience with AI standards and frameworks such as Model Context Protocol (MCP), Agent2Agent (A2A ...

Develop production-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and vector databases. . Implement multi-agent orchestration using ...

Implement Retrieval-Augmented Generation (RAG) pipelines * Design and integrate vector database solutions for efficient semantic search * Perform model quantization and performance tuning for CPU ...

Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering strategies for enterprise AI use cases. Establish and drive best practices across AI Engineering, MLOps, and ...

RAG (Retrieval-Augmented Generation) platforms * Conversational AI and enterprise chatbots * AI copilots and virtual assistants * Multi-agent and agentic AI systems * Knowledge discovery and search ...

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

... Retrieval-Augmented Generation (RAG) pipelines • Experience generating and managing embeddings and metadata filtering Security & Governance: • Understanding of data privacy, air-gapped ...

Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering strategies for enterprise AI use cases. Establish and drive best practices across AI Engineering, MLOps, and ...

Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses * Develop scalable backend services and APIs to support AI agent operations * Monitor agent performance ...

Partner with senior engineers to develop AI-enabled capabilities leveraging large language models (LLMs), retrieval-augmented generation (RAG), model APIs, prompt engineering, agentic workflows, and ...

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

Partner with senior engineers to develop AI-enabled capabilities leveraging large language models (LLMs), retrieval-augmented generation (RAG), model APIs, prompt engineering, agentic workflows, and ...

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data. * Build autonomous and semi-autonomous agents ...

Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses. * Develop scalable backend services and APIs to support AI agent operations. * Monitor agent performance ...